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ORCIDAyse Basar Bener
Ayse Basar – Ayse Bener
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2020 – today
- 2024
[i24]Messiah Abolfazli Esfahani, Ayse Basar, Sajad Saeedi:
FG-PE: Factor-graph Approach for Multi-robot Pursuit-Evasion. CoRR abs/2411.00741 (2024)- 2023
- [j60]Sanaz Mohammadjafari, Mucahit Cevik
, Ayse Basar:
VARGAN: variance enforcing network enhanced GAN. Appl. Intell. 53(1): 69-95 (2023) - [j59]Sanaz Mohammad Jafari, Mucahit Cevik, Ayse Basar:
Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. Appl. Intell. 53(18): 21050-21076 (2023) - [j58]José Navas-Sú, Antonio González Torres, Marco Hernandez-Vasquez, Jennier Solano-Cordero, Franklin Hernandez-Castro, Ayse Bener:
A Metrics Suite for Measuring Indirect Coupling Complexity. Program. Comput. Softw. 49(8): 735-761 (2023) - [j57]Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar:
ADPTriage: Approximate Dynamic Programming for Bug Triage. IEEE Trans. Software Eng. 49(10): 4594-4609 (2023) - [c145]Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener:
An Empirical Study on Vagueness Detection in Privacy Policy Texts. Canadian AI 2023 - [c144]Davood Pirayesh Neghab, Mucahit Cevik, Ayse Basar:
Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques. Canadian AI 2023 - [c143]Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar:
Anaphoric Ambiguity Resolution in Software Requirement Texts. IEEE Big Data 2023: 4722-4730 - [c142]Garima Malik, Mucahit Cevik, Ayse Basar:
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. CASCON 2023: 34-43 - [c141]Savas Yildirim, Mucahit Cevik, Ayse Basar:
Few-shot Learning Approaches to Software Requirement Quality Prediction. CASCON 2023: 155-160 - [i23]Savas Yildirim, Mucahit Cevik, Devang Parikh, Ayse Basar:
Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data. CoRR abs/2301.00495 (2023) - [i22]Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener, Devang Parikh:
Transfer learning for conflict and duplicate detection in software requirement pairs. CoRR abs/2301.03709 (2023) - [i21]Garima Malik, Mucahit Cevik, Ayse Basar:
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. CoRR abs/2305.09608 (2023) - [i20]Aysun Bozanta, Fuad Bayrak, Ayse Basar:
Prediction of the 2023 Turkish Presidential Election Results Using Social Media Data. CoRR abs/2305.18397 (2023) - [i19]Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol A. Verma, Ayse Basar:
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation. CoRR abs/2308.02730 (2023) - 2022
- [j56]Eray Mert Kavuk, Ayse Tosun, Mucahit Cevik, Aysun Bozanta, Sibel B. Sonuc, Mehmetcan Tutuncu, Bilgin Kosucu, Ayse Basar:
Order dispatching for an ultra-fast delivery service via deep reinforcement learning. Appl. Intell. 52(4): 4274-4299 (2022) - [j55]Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar:
Courier routing and assignment for food delivery service using reinforcement learning. Comput. Ind. Eng. 164: 107871 (2022) - [j54]Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills:
A replication study on implicit feedback recommender systems with application to the data visualization recommendation. Expert Syst. J. Knowl. Eng. 39(4) (2022) - [j53]Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres:
Wayback Machine: A tool to capture the evolutionary behavior of the bug reports and their triage process in open-source software systems. J. Syst. Softw. 189: 111308 (2022) - [j52]Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar:
A deep reinforcement learning approach for the meal delivery problem. Knowl. Based Syst. 243: 108489 (2022) - [j51]Ozan Ozyegen, Sanaz Mohammadjafari, Mucahit Cevik, Karim El Mokhtari, Jonathan Ethier, Ayse Basar:
An Empirical Study on Using CNNs for Fast Radio Signal Prediction. SN Comput. Sci. 3(2): 131 (2022) - [c140]Garima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh, Ayse Basar:
Software requirement specific entity extraction using transformer models. Canadian AI 2022 - [i18]Aysun Bozanta, Sean Berry, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar:
Time Series Clustering for Grouping Products Based on Price and Sales Patterns. CoRR abs/2204.08334 (2022) - [i17]Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar:
Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings. CoRR abs/2206.13690 (2022) - [i16]Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar:
Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. CoRR abs/2207.11223 (2022) - [i15]Ozan Ozyegen, Nicholas Prayogo, Mucahit Cevik, Ayse Basar:
Interpretable Time Series Clustering Using Local Explanations. CoRR abs/2208.01152 (2022) - [i14]Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar:
ADPTriage: Approximate Dynamic Programming for Bug Triage. CoRR abs/2211.00872 (2022) - 2021
- [j50]Sanaz Mohammadjafari, Ozan Ozyegen, Mucahit Cevik, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar:
Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks. Neural Comput. Appl. 33(17): 11309-11323 (2021) - [j49]Beyza Eken, Francis Palma, Ayse Basar, Ayse Tosun:
An empirical study on the effect of community smells on bug prediction. Softw. Qual. J. 29(1): 159-194 (2021) - [c139]Derya Kici, Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar:
A BERT-based transfer learning approach to text classification on software requirements specifications. Canadian AI 2021 - [c138]Garima Malik, Mucahit Cevik, Yusef Khedr, Devang Parikh, Ayse Basar:
Named Entity Recognition on Software Requirements Specification Documents. Canadian AI 2021 - [c137]Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative:
Using ProtoPNet for Interpretable Alzheimer's Disease Classification. Canadian AI 2021 - [c136]Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar:
Text classification for predicting multi-level product categories. CASCON 2021: 33-42 - [c135]Derya Kici, Aysun Bozanta, Mucahit Cevik, Devang Parikh, Ayse Basar:
Text classification on software requirements specifications using transformer models. CASCON 2021: 163-172 - [c134]Mucahit Cevik, Savas Yildirim, Ayse Basar:
Natural language processing for software requirement specifications. CASCON 2021: 308-309 - [c133]Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayse Basar:
DABT: A Dependency-aware Bug Triaging Method. EASE 2021: 221-230 - [c132]Aysun Bozanta, Sabrina Angco, Mucahit Cevik, Ayse Basar:
Sentiment Analysis of StockTwits Using Transformer Models. ICMLA 2021: 1253-1258 - [i13]Hadi Jahanshahi, Mucahit Cevik, Ayse Basar:
Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study. CoRR abs/2103.03490 (2021) - [i12]Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik:
Does chronology matter in JIT defect prediction? A Partial Replication Study. CoRR abs/2103.03506 (2021) - [i11]Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar:
A Deep Reinforcement Learning Approach for the Meal Delivery Problem. CoRR abs/2104.12000 (2021) - [i10]Hadi Jahanshahi, Mucahit Cevik, Ayse Basar:
Predicting the Number of Reported Bugs in a Software Repository. CoRR abs/2104.12001 (2021) - [i9]Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayse Basar:
DABT: A Dependency-aware Bug Triaging Method. CoRR abs/2104.12744 (2021) - [i8]Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar:
Text Classification for Predicting Multi-level Product Categories. CoRR abs/2109.01084 (2021) - [i7]Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar:
VARGAN: Variance Enforcing Network Enhanced GAN. CoRR abs/2109.02117 (2021) - 2020
- [j48]Shirin Akbarinasaji, Can Kavaklioglu, Ayse Basar, Adam Neal:
Partially observable Markov decision process to generate policies in software defect management. J. Syst. Softw. 163: 110518 (2020) - [j47]Ashok Bhowmick, Mucahit Cevik, Ayse Basar:
Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods. SN Comput. Sci. 1(6): 325 (2020) - [j46]Ozan Ozyegen, Sanaz Mohammadjafari, Emir Kavurmacioglu, John Maidens, Ayse Basar Bener:
Experimental Results on the Impact of Memory in Neural Networks for Spectrum Prediction in Land Mobile Radio Bands. IEEE Trans. Cogn. Commun. Netw. 6(2): 771-782 (2020) - [j45]Sanaz Mohammadjafari, Sophie Roginsky, Emir Kavurmacioglu, Mucahit Cevik, Jonathan Ethier, Ayse Basar Bener:
Machine Learning-Based Radio Coverage Prediction in Urban Environments. IEEE Trans. Netw. Serv. Manag. 17(4): 2117-2130 (2020) - [c131]Karim El Mokhtari, Mucahit Cevik, Ayse Basar:
Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes. Canadian AI 2020: 201-207 - [c130]Hadi Jahanshahi, Mucahit Cevik, Ayse Basar:
Predicting the Number of Reported Bugs in a Software Repository. Canadian AI 2020: 309-320 - [c129]Sukhjit Singh Sehra, Tamer Abdou, Ayse Basar, Sumeet Kaur Sehra:
Amalgamated Models for Detecting Duplicate Bug Reports. Canadian AI 2020: 470-482 - [c128]Hadi Jahanshahi, Mucahit Cevik, Ayse Basar:
Moving from cross-project defect prediction to heterogeneous defect prediction: a partial replication study. CASCON 2020: 133-142 - [c127]Jingli Wang, Ashok Bhowmick, Mucahit Cevik, Ayse Basar:
Deep learning approaches to classify the relevance and sentiment of news articles to the economy. CASCON 2020: 207-216 - [i6]Ozan Ozyegen, Sanaz Mohammadjafari, Karim El Mokhtari, Mucahit Cevik, Jonathan Ethier, Ayse Basar:
Deep learning approaches for fast radio signal prediction. CoRR abs/2006.09245 (2020) - [i5]Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres:
Wayback Machine: Capturing the evolutionary behaviour of the bug dependency graph in open-source software systems. CoRR abs/2011.05382 (2020)
2010 – 2019
- 2019
- [c126]Karim El Mokhtari, John Maidens, Ayse Bener:
Predicting Commentaries on a Financial Report with Recurrent Neural Networks. Canadian AI 2019: 531-542 - [c125]Nicolas Ewen, Tamer Abdou, Ayse Bener:
Applications of Feature Selection Techniques on Large Biomedical Datasets. Canadian AI 2019: 543-548 - [c124]Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar:
Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset. IEEE BigData 2019: 5581-5584 - [c123]Abel Ag Rb Guimaraes, Tamer Abdou, Ayse Basar:
Deep learning brain regions in Harvard-Oxford atlas using SegNet model. CASCON 2019: 120-129 - [c122]Ozan Ozyegen, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar:
Generative adversarial networks in designing electromagnetic engineered surfaces for mm-Wave band spectrum environments. CASCON 2019: 148-155 - [c121]Karim El Mokhtari, Ben Peachey Higdon, Ayse Basar:
Interpreting financial time series with SHAP values. CASCON 2019: 166-172 - [c120]Ronnie E. S. Santos, Ayse Basar Bener, Maria Teresa Baldassarre, Cleyton V. C. de Magalhães, Jorge S. Correia Neto, Fabio Q. B. da Silva:
Mind the gap: are practitioners and researchers in software testing speaking the same language? CESSER-IP@ICSE 2019: 10-17 - [c119]Sanaz Mohammadjafari, Emir Kavurmacioglu, John Maidens, Ayse Bener:
Neural Network Based Spectrum Prediction in Land Mobile Radio Bands for IoT deployments. IM 2019: 31-36 - [c118]Sravya Polisetty, Andriy V. Miranskyy, Ayse Basar:
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. PROMISE 2019: 16-25 - [c117]Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik:
Does chronology matter in JIT defect prediction?: A Partial Replication Study. PROMISE 2019: 90-99 - [c116]Dhanya Jothimani, Ayse Basar:
Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models. SGAI Conf. 2019: 283-292 - [c115]Ben Peachey Higdon, Karim El Mokhtari, Ayse Basar:
Time-Series-Based Classification of Financial Forecasting Discrepancies. SGAI Conf. 2019: 474-479 - [i4]Sravya Polisetty, Andriy V. Miranskyy, Ayse Bener:
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. CoRR abs/1907.08588 (2019) - 2018
- [j44]Hongyu Zhang, Andriy V. Miranskyy, Ayse Basar Bener:
Editorial: Special Section on Best Papers of PROMISE 2016. Inf. Softw. Technol. 95: 295 (2018) - [j43]Shirin Akbarinasaji, Bora Caglayan, Ayse Bener:
Predicting bug-fixing time: A replication study using an open source software project. J. Syst. Softw. 136: 173-186 (2018) - [j42]Andriy V. Miranskyy, Zainab Al-zanbouri, David Godwin, Ayse Basar Bener:
Database engines: Evolution of greenness. J. Softw. Evol. Process. 30(4) (2018) - [j41]Leandro L. Minku, Ayse Basar Bener, Burak Turhan:
Guest editorial: special issue on predictive models for software quality. Softw. Qual. J. 26(2): 521-523 (2018) - [j40]Mayy Habayeb, Syed Shariyar Murtaza, Andriy V. Miranskyy, Ayse Basar Bener:
On the Use of Hidden Markov Model to Predict the Time to Fix Bugs. IEEE Trans. Software Eng. 44(12): 1224-1244 (2018) - [c114]Steven Young, Tamer Abdou, Ayse Bener:
Deep Super Learner: A Deep Ensemble for Classification Problems. Canadian AI 2018: 84-95 - [c113]Saeede Sadat Asadi Kakhki, Can Kavaklioglu, Ayse Bener:
Topic Detection and Document Similarity on Financial News. Canadian AI 2018: 322-328 - [c112]Dhanya Jothimani, Can Kavaklioglu, Ayse Basar:
Financial Networks: A Study of the Toronto Stock Exchange. IEEE BigData 2018: 4684-4691 - [c111]Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar:
Classification of "Hot News" for Financial Forecast Using NLP Techniques. IEEE BigData 2018: 4719-4722 - [c110]Ashok Bhowmick, Tamer Abdou, Ayse Bener:
Predictive analytics in healthcare epileptic seizure recognition. CASCON 2018: 323-330 - [c109]Steven Young, Tamer Abdou, Ayse Bener:
A Replication Study: Just-in-Time Defect Prediction with Ensemble Learning. RAISE@ICSE 2018: 42-47 - [c108]Mayy Habayeb, Syed Shariyar Murtaza, Andriy V. Miranskyy, Ayse Basar Bener:
On the use of hidden Markov model to predict the time to fix bugs. ICSE 2018: 700 - [c107]Sedef Akinli Koçak, Gülfem Isiklar Alptekin, Andriy V. Miranskyy, Ayse Bener, Enzo Cialini:
An Empirical Evaluation of Database Software Features on Energy Consumption. ICT4S 2018: 1-19 - [c106]Francis Palma, Tamer Abdou, Ayse Bener, John Maidens, Stella Liu:
An Improvement to Test Case Failure Prediction in the Context of Test Case Prioritization. PROMISE 2018: 80-89 - [c105]Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener:
The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract). SANER 2018: 471 - [i3]Steven Young, Tamer Abdou, Ayse Bener:
Deep Super Learner: A Deep Ensemble for Classification Problems. CoRR abs/1803.02323 (2018) - 2017
- [j39]Rachel Harrison, Ayse Basar Bener, Çetin Meriçli, Burak Turhan:
Guest editorial: special issue on realising artificial intelligence synergies in software engineering. Autom. Softw. Eng. 24(4): 789-790 (2017) - [j38]Carlos Henrique C. Duarte, Andreas Jedlitschka, Ayse Bener:
4th International Workshop on Conducting Empirical Studies in Industry (CESI 2016): Post-workshop Report. ACM SIGSOFT Softw. Eng. Notes 42(2): 15-18 (2017) - [j37]Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener:
The relationship between evolutionary coupling and defects in large industrial software. J. Softw. Evol. Process. 29(4) (2017) - [j36]Agusti Solanas, Jens H. Weber, Ayse Basar Bener, Frank van der Linden, Rafael Capilla:
Recent Advances in Healthcare Software: Toward Context-Aware and Smart Solutions. IEEE Softw. 34(6): 36-40 (2017) - [j35]Ayse Tosun, Ayse Basar Bener, Shirin Akbarinasaji:
A systematic literature review on the applications of Bayesian networks to predict software quality. Softw. Qual. J. 25(1): 273-305 (2017) - [c104]Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham J. Wills, Andriy V. Miranskyy, Ayse Basar Bener:
A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics. CASCON 2017: 38-47 - [c103]Andreas Jedlitschka, Ayse Bener, Fabio Silva, He Zhang:
5th International Workshop on Conducting Empirical Studies in Industry (CESI 2017). CESI@ICSE 2017: 1 - [c102]Shirin Akbarinasaji, Ayse Bener, Adam Neal:
A Heuristic for Estimating the Impact of Lingering Defects: Can Debt Analogy Be Used as a Metric? WETSoM@ICSE 2017: 36-42 - [c101]Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy:
Rediscovery datasets: connecting duplicate reports. MSR 2017: 527-530 - [c100]Ceni Babaoglu, Uzair Ahmad, Afsah Durrani, Ayse Bener:
Predictive modeling of lapse risk: An international financial services case study. SMC 2017: 16-21 - [e4]Ayse Bener, Burak Turhan, Stefan Biffl:
2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2017, Toronto, ON, Canada, November 9-10, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-4039-1 [contents] - [i2]Andriy V. Miranskyy, Zainab Al-zanbouri, David Godwin, Ayse Basar Bener:
Database Engines: Evolution of Greenness. CoRR abs/1701.02344 (2017) - [i1]Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy:
Rediscovery Datasets: Connecting Duplicate Reports. CoRR abs/1703.06337 (2017) - 2016
- [j34]Syed Shariyar Murtaza, Wael Khreich, Abdelwahab Hamou-Lhadj, Ayse Basar Bener:
Mining trends and patterns of software vulnerabilities. J. Syst. Softw. 117: 218-228 (2016) - [j33]Bora Çaglayan, Ayse Basar Bener:
Effect of developer collaboration activity on software quality in two large scale projects. J. Syst. Softw. 118: 288-296 (2016) - [j32]Ian Gorton, Ayse Basar Bener, Audris Mockus:
Software Engineering for Big Data Systems. IEEE Softw. 33(2): 32-35 (2016) - [c99]Mayy Habayeb, Behjat Soltanifar, Bora Caglayan, Ayse Basar Bener:
A Novel Point of Interest (POI) Location Based Recommender System Utilizing User Location and Web Interactions. BigDataService 2016: 121-130 - [c98]Parisa Lak, Mefta Sadat, Carl Julien Barrelet, Martin Petitclerc, Andriy V. Miranskyy, Craig Statchuk, Ayse Basar Bener:
Preliminary investigation on user interaction with IBM watson analytics. CASCON 2016: 218-225 - [c97]Behjat Soltanifar, Atakan Erdem, Ayse Bener:
Predicting Defectiveness of Software Patches. ESEM 2016: 22:1-22:10 - [c96]Tamer Abdou, Ayse Bener:
A Replication Study: Where and When Should Defects be Re-Assigned. SEAA 2016: 368-371 - [c95]Syed Shariyar Murtaza, Parisa Lak, Ayse Basar Bener, Armen Pischdotchian:
How to Effectively Train IBM Watson: Classroom Experience. HICSS 2016: 1663-1670 - [c94]Jeffrey C. Carver, Morgan Burcham, Sedef Akinli Koçak, Ayse Bener, Michael Felderer, Matthias Gander, Jason King, Jouni Markkula, Markku Oivo, Clemens Sauerwein, Laurie A. Williams:
Establishing a baseline for measuring advancement in the science of security: an analysis of the 2015 IEEE security & privacy proceedings. HotSoS 2016: 38-51 - [c93]Shirin Akbarinasaji, Ayse Basar Bener, Atakan Erdem:
Measuring the principal of defect debt. RAISE@ICSE 2016: 1-7 - [c92]Syed Shariyar Murtaza, Ayse Bener, Jeremy Petch, Muhammad Mamdani:
An empirical investigation of the evaluators' scoring of vendors' responses to an RFP of a large healthcare system. SEHS@ICSE 2016: 33-38 - [c91]Shirin Akbarinasaji, Behjat Soltanifar, Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy, Asli Filiz, Bryan M. Kramer, Ayse Tosun:
A metric suite proposal for logical dependency. WETSoM@ICSE 2016: 57-63 - [c90]Shirin Akbarinasaji, Ayse Bener:
Adjusting the Balance Sheet by Appending Technical Debt. MTD@ICSME 2016: 36-39 - [c89]Tamer Abdou, Behjat Soltanifar, Ayse Bener, Adam Neal:
What is the Cause for a Defect to be Re-Assigned? ICSME 2016: 502-508 - [c88]Behjat Soltanifar, Shirin Akbarinasaji, Bora Caglayan, Ayse Basar Bener, Asli Filiz, Bryan M. Kramer:
Software Analytics in Practice: A Defect Prediction Model Using Code Smells. IDEAS 2016: 148-155 - [c87]Soroosh Nalchigar, Ingmar Weber, Parisa Lak, Ayse Bener:
A Large-Scale Study of Online Shopping Behavior. IDEAS 2016: 290-295 - [c86]Carl Julien Barrelet, Sebnem Sahin Kuzulugil, Ayse Basar Bener:
The Twitter Bullishness Index: A Social Media Analytics Indicator for the Stock Market. IDEAS 2016: 394-395 - [c85]Parisa Lak, Ceni Babaoglu, Ayse Basar Bener, Pawel Pralat:
News Article Position Recommendation Based on the Analysis of Article's Content - Time Matters. CBRecSys@RecSys 2016: 11-14 - [c84]Tamer Abdou, Atakan Erdem, Ayse Bener, Adam Neal:
A replication study: mining a proprietary temporal defect dataset. SWAN@SIGSOFT FSE 2016: 15-21 - [p4]Ayse Bener, Burak Turhan, Ayse Tosun, Bora Caglayan, Ekrem Kocaguneli:
A success story in applying data science in practice. Perspectives on Data Science for Software Engineering 2016: 85-90 - [p3]Ayse Bener, Ayse Tosun:
If it is software engineering, it is (probably) a Bayesian factor. Perspectives on Data Science for Software Engineering 2016: 187-191 - 2015
- [j31]Bora Caglayan, Ayse Tosun Misirli, Ayse Basar Bener, Andriy V. Miranskyy:
Predicting defective modules in different test phases. Softw. Qual. J. 23(2): 205-227 (2015) - [j30]Gul Calikli, Ayse Bener:
Empirical analysis of factors affecting confirmation bias levels of software engineers. Softw. Qual. J. 23(4): 695-722 (2015) - [c83]Bora Caglayan, Burak Turhan, Ayse Basar Bener, Mayy Habayeb, Andriy V. Miranskyy, Enzo Cialini:
Merits of Organizational Metrics in Defect Prediction: An Industrial Replication. ICSE (2) 2015: 89-98 - [c82]Burak Turhan, Ayse Basar Bener, Rachel Harrison, Andriy V. Miranskyy, Çetin Meriçli, Leandro L. Minku:
4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015). ICSE (2) 2015: 991-992 - [c81]Parisa Lak, Akin Kocak, Pawel Pralat, Ayse Bener, Akram Samarikhalaj:
Towards dynamic pricing for digital billboard advertising network in smart cities. ISC2 2015: 1-6 - [c80]Mayy Habayeb, Andriy V. Miranskyy, Syed Shariyar Murtaza, Leotis Buchanan, Ayse Bener:
The Firefox Temporal Defect Dataset. MSR 2015: 498-501 - [c79]Sedef Akinli Koçak, Gülfem Isiklar Alptekin, Ayse Basar Bener:
Integrating Environmental Sustainability in Software Product Quality. RE4SuSy@RE 2015: 17-24 - [c78]Sedef Akinli Koçak, Gülfem Isiklar Alptekin, Ayse Basar Bener:
Bir Yazılımın Çevre ve Kalite Açısından Değerlendirilmesi için Önerilmiş Karar Alma Modeli. UYMS 2015 - [p2]Ayse Bener, Ayse Tosun Misirli, Bora Caglayan, Ekrem Kocaguneli, Gul Calikli:
Lessons Learned from Software Analytics in Practice. The Art and Science of Analyzing Software Data 2015: 453-489 - [e3]Rachel Harrison, Ayse Basar Bener, Burak Turhan:
4th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2015, Florence, Italy, May 17, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-7064-6 [contents] - [e2]Ayse Bener, Leandro L. Minku, Burak Turhan:
Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015, Beijing, China, October 21, 2015. ACM 2015, ISBN 978-1-4503-3715-1 [contents] - 2014
- [j29]Ayse Basar Bener, Maurizio Morisio, Andriy V. Miranskyy:
Green Software. IEEE Softw. 31(3): 36-39 (2014) - [j28]Ayse Basar Bener, Andriy V. Miranskyy, Steve Raspudic:
Deploying and Provisioning Green Software. IEEE Softw. 31(3): 76-78 (2014) - [j27]Ayse Tosun Misirli, Ayse Basar Bener:
Bayesian Networks For Evidence-Based Decision-Making in Software Engineering. IEEE Trans. Software Eng. 40(6): 533-554 (2014) - [c77]Parisa Lak, Bora Çaglayan, Ayse Basar Bener:
The Impact of Basic Matrix Factorization Refinements on Recommendation Accuracy. BDC 2014: 105-112 - [c76]Serkan Kirbas, Alper Sen, Bora Caglayan, Ayse Bener, Rasim Mahmutogullari:
The effect of evolutionary coupling on software defects: an industrial case study on a legacy system. ESEM 2014: 6:1-6:7 - [c75]Andriy V. Miranskyy, Bora Caglayan, Ayse Bener, Enzo Cialini:
Effect of temporal collaboration network, maintenance activity, and experience on defect exposure. ESEM 2014: 27:1-27:8 - [c74]Ayse Tosun Misirli, Ayse Basar Bener:
A mapping study on bayesian networks for software quality prediction. RAISE 2014: 7-11 - [c73]Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy:
Factors affecting team evolution during software projects. CHASE 2014: 16-23 - [c72]Sedef Akinli Koçak, Gülfem Isiklar Alptekin, Ayse Bener:
Evaluation of Software Product Quality Attributes and Environmental Attributes using ANP Decision Framework. RE4SuSy@RE 2014: 37-44 - [c71]Serkan Kirbas, Alper Sen, Bora Çaglayan, Ayse Bener:
Değişiklik Bağlaşımı ve Yazılım Hataları İlişkisinin İncelenmesi. UYMS 2014 - [p1]Ayse Tosun Misirli, Ayse Bener, Bora Çaglayan, Gül Çalikli, Burak Turhan:
Field Studies - A Methodology for Construction and Evaluation of Recommendation Systems in Software Engineering. Recommendation Systems in Software Engineering 2014: 329-355 - [e1]Burak Turhan, Ayse Basar Bener, Çetin Meriçli, Andriy V. Miranskyy, Leandro L. Minku:
3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2014, Hyderabad, India, June 3, 2014. ACM 2014, ISBN 978-1-4503-2846-3 [contents] - 2013
- [j26]Burak Turhan, Ayse Tosun Misirli, Ayse Bener:
Empirical evaluation of the effects of mixed project data on learning defect predictors. Inf. Softw. Technol. 55(6): 1101-1118 (2013) - [j25]Ayse Tosun Misirli, Bora Caglayan, Ayse Bener, Burak Turhan:
A Retrospective Study of Software Analytics Projects: In-Depth Interviews with Practitioners. IEEE Softw. 30(5): 54-61 (2013) - [j24]Gül Çalikli, Ayse Basar Bener:
Influence of confirmation biases of developers on software quality: an empirical study. Softw. Qual. J. 21(2): 377-416 (2013) - [c70]Sedef Akinli Koçak, Giovanna Gonzales-Calienes, Gülfem Isiklar Alptekin, Ayse Basar Bener:
Requirements Prioritization Framework for Developing Green and Sustainable Software using ANP-based Decision Making. EnviroInfo 2013: 327-335 - [c69]Gul Calikli, Ayse Bener, Turgay Aytac, Ovunc Bozcan:
Towards a Metric Suite Proposal to Quantify Confirmation Biases of Developers. ESEM 2013: 363-372 - [c68]Burak Turhan, Stefan Wagner, Ayse Bener, Massimiliano Di Penta, Ye Yang:
Message from the PROMISE 2013 Chairs. ESEM 2013: 394 - [c67]Bora Caglayan, Ayse Basar Bener, Andriy V. Miranskyy:
Emergence of developer teams in the collaboration network. CHASE@ICSE 2013: 33-40 - [c66]Övünç Bozcan, Ayse Basar Bener:
Handling missing attributes using matrix factorization. RAISE@ICSE 2013: 49-55 - [c65]Gul Calikli, Ayse Bener:
An algorithmic approach to missing data problem in modeling human aspects in software development. PROMISE 2013: 10:1-10:10 - [c64]Gül Çalikli, Ayse Bener:
The Impact of Confirmation Bias on the Release-based Defect Prediction of Developer Groups. SEKE 2013: 461-466 - 2012
- [j23]Ayse Basar Bener, Tim Menzies:
Guest editorial: learning to organize testing. Autom. Softw. Eng. 19(2): 137-140 (2012) - [j22]Bora Caglayan, Ayse Bener:
Issue ownership activity in two large software projects. ACM SIGSOFT Softw. Eng. Notes 37(6): 1-7 (2012) - [j21]Uwe Zdun, Ayse Bener, Erlinda L. Olalia-Carin:
Guest Editors' Introduction: Software Engineering for Compliance. IEEE Softw. 29(3): 24-27 (2012) - [j20]Ekrem Kocaguneli, Tim Menzies, Ayse Bener, Jacky W. Keung:
Exploiting the Essential Assumptions of Analogy-Based Effort Estimation. IEEE Trans. Software Eng. 38(2): 425-438 (2012) - [c63]Gul Calikli, Ayse Bener, Bora Caglayan, Ayse Tosun Misirli:
Modeling Human Aspects to Enhance Software Quality Management. ICIS 2012 - [c62]Bora Caglayan, Ayse Tosun Misirli, Andriy V. Miranskyy, Burak Turhan, Ayse Bener:
Factors characterizing reopened issues: a case study. PROMISE 2012: 1-10 - [c61]Martin L. Barrett, Steve Chenoweth, Larry Jones, Amine Chigani, Ayse Basar Bener, Mei-Huei Tang:
Incorporating software architecture in the computer science curriculum (abstract only). SIGCSE 2012: 660 - [c60]Bora Caglayan, Ayse Tosun Misirli, Gul Calikli, Ayse Bener, Turgay Aytac, Burak Turhan:
Dione: an integrated measurement and defect prediction solution. SIGSOFT FSE 2012: 20 - 2011
- [j19]Ayse Tosun Misirli, Ayse Basar Bener, Resat Kale:
AI-Based Software Defect Predictors: Applications and Benefits in a Case Study. AI Mag. 32(2): 57-68 (2011) - [j18]Gülfem Isiklar Alptekin, Ayse Basar Bener:
Spectrum trading in cognitive radio networks with strict transmission power control. Eur. Trans. Telecommun. 22(6): 282-295 (2011) - [j17]Ayse Tosun Misirli, Ayse Basar Bener, Burak Turhan:
An industrial case study of classifier ensembles for locating software defects. Softw. Qual. J. 19(3): 515-536 (2011) - [j16]Ayse Bakir, Burak Turhan, Ayse Basar Bener:
A comparative study for estimating software development effort intervals. Softw. Qual. J. 19(3): 537-552 (2011) - [c59]Martin L. Barrett, Ayse Basar Bener, Steve Chenoweth:
Incorporating software architecture in the computer science curriculum. CSEE&T 2011: 523-524 - [c58]Burak Turhan, Ayse Tosun Misirli, Ayse Basar Bener:
Empirical Evaluation of Mixed-Project Defect Prediction Models. EUROMICRO-SEAA 2011: 396-403 - [c57]Ekrem Kocaguneli, Ayse Tosun Misirli, Bora Caglayan, Ayse Basar Bener:
Experiences on Developer Participation and Effort Estimation. EUROMICRO-SEAA 2011: 419-422 - [c56]Ayse Tosun Misirli, Bora Çaglayan, Andriy V. Miranskyy, Ayse Bener, Nuzio Ruffolo:
Different strokes for different folks: a case study on software metrics for different defect categories. WETSoM 2011: 45-51 - [c55]Gülfem Isiklar Alptekin, Ayse Basar Bener:
The impact of power management to spectrum trading. Integrated Network Management 2011: 305-312 - [c54]Serdar Biçer, Ayse Basar Bener, Bora Çaglayan:
Defect prediction using social network analysis on issue repositories. ICSSP 2011: 63-71 - [c53]Ayse Tosun Misirli, Brendan Murphy, Thomas Zimmermann, Ayse Basar Bener:
An explanatory analysis on eclipse beta-release bugs through in-process metrics. WoSQ@ESEC/FSE 2011: 26-33 - 2010
- [j15]Tim Menzies, Zach Milton, Burak Turhan, Bojan Cukic, Yue Jiang, Ayse Basar Bener:
Defect prediction from static code features: current results, limitations, new approaches. Autom. Softw. Eng. 17(4): 375-407 (2010) - [j14]Gülfem Isiklar Alptekin, Ayse Basar Bener:
Customer oriented resource allocation framework in cognitive radio. Comput. Ind. Eng. 58(3): 401-410 (2010) - [j13]Ayse Tosun, Ayse Basar Bener, Burak Turhan, Tim Menzies:
Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry. Inf. Softw. Technol. 52(11): 1242-1257 (2010) - [j12]Ayse Bakir, Burak Turhan, Ayse Basar Bener:
A new perspective on data homogeneity in software cost estimation: a study in the embedded systems domain. Softw. Qual. J. 18(1): 57-80 (2010) - [j11]Yomi Kastro, Gülfem Isiklar Alptekin, Ayse Basar Bener:
Resource allocation in cellular networks based on marketing preferences. Wirel. Networks 16(1): 27-38 (2010) - [c52]Gul Calikli, Ayse Basar Bener:
Preliminary analysis of the effects of confirmation bias on software defect density. ESEM 2010 - [c51]Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener:
AI-Based Models for Software Effort Estimation. EUROMICRO-SEAA 2010: 323-326 - [c50]Gülfem Isiklar Alptekin, Ayse Basar Bener:
A Spectrum Trading Model with Strict Transmission Power Control. GLOBECOM 2010: 1-5 - [c49]Ayse Tosun, Ayse Basar Bener, Resat Kale:
AI-Based Software Defect Predictors: Applications and Benefits in a Case Study. IAAI 2010: 1748-1755 - [c48]Asli Uyar, Ayse Basar Bener, H. Nadir Ciray, Mustafa Bahceci:
Bayesian Networks for Predicting IVF Blastocyst Development. ICPR 2010: 2772-2775 - [c47]Gul Calikli, Ayse Basar Bener, Berna Arslan:
An analysis of the effects of company culture, education and experience on confirmation bias levels of software developers and testers. ICSE (2) 2010: 187-190 - [c46]Gul Calikli, Berna Arslan, Ayse Bener:
Confirmation Bias in Software Development and Testing: An Analysis of the Effects of Company Size, Experience and Reasoning Skills. PPIG 2010: 14 - [c45]Burak Turhan, Ayse Basar Bener, Tim Menzies:
Regularities in Learning Defect Predictors. PROFES 2010: 116-130 - [c44]Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo:
Usage of multiple prediction models based on defect categories. PROMISE 2010: 8 - [c43]Gul Calikli, Ayse Basar Bener:
Empirical analyses of the factors affecting confirmation bias and the effects of confirmation bias on software developer/tester performance. PROMISE 2010: 10 - [c42]Salifu Alhassan, Bora Caglayan, Ayse Basar Bener:
Do More People Make the Code More Defect Prone?: Social Network Analysis in OSS Projects. SEKE 2010: 93-98 - [c41]Melike Demir, Ayse Bener, Tolga Kurt, Emin Anarim:
Application of Software Product Line Principles to Multi-Sector Software Development. SPLC Workshops 2010: 267-268 - [c40]Burak Turhan, Ayse Basar Bener, Pasi Kuvaja, Markku Oivo:
A Quantitative Comparison of Test-First and Test-Last Code in an Industrial Project. XP 2010: 232-237
2000 – 2009
- 2009
- [j10]Burak Turhan, Ayse Basar Bener:
Analysis of Naive Bayes' assumptions on software fault data: An empirical study. Data Knowl. Eng. 68(2): 278-290 (2009) - [j9]Burak Turhan, Tim Menzies, Ayse Basar Bener, Justin S. Di Stefano:
On the relative value of cross-company and within-company data for defect prediction. Empir. Softw. Eng. 14(5): 540-578 (2009) - [j8]Ayse Basar Bener, Volkan Ozadali, Erdem Savas Ilhan:
Semantic matchmaker with precondition and effect matching using SWRL. Expert Syst. Appl. 36(5): 9371-9377 (2009) - [j7]Burak Turhan, Gözde Koçak, Ayse Basar Bener:
Data mining source code for locating software bugs: A case study in telecommunication industry. Expert Syst. Appl. 36(6): 9986-9990 (2009) - [j6]Yasemin Kösker, Burak Turhan, Ayse Basar Bener:
An expert system for determining candidate software classes for refactoring. Expert Syst. Appl. 36(6): 10000-10003 (2009) - [j5]Ayse Tosun, Burak Turhan, Ayse Basar Bener:
Feature weighting heuristics for analogy-based effort estimation models. Expert Syst. Appl. 36(7): 10325-10333 (2009) - [j4]Yigit Kultur, Burak Turhan, Ayse Basar Bener:
Ensemble of neural networks with associative memory (ENNA) for estimating software development costs. Knowl. Based Syst. 22(6): 395-402 (2009) - [c39]Asli Uyar, Ayse Basar Bener, H. Nadir Ciray, Mustafa Bahceci:
ROC Based Evaluation and Comparison of Classifiers for IVF Implantation Prediction. eHealth 2009: 108-111 - [c38]Ayse Tosun, Ayse Basar Bener:
Reducing false alarms in software defect prediction by decision threshold optimization. ESEM 2009: 477-480 - [c37]Ayse Tosun, Ayse Basar Bener, Burak Turhan:
Implementation of a Software Quality Improvement Project in an SME: A Before and After Comparison. EUROMICRO-SEAA 2009: 203-209 - [c36]Gülfem Isiklar Alptekin, Ayse Basar Bener:
Pricing model for the secondary market architecture in cognitive radio networks. GAMENETS 2009: 479-483 - [c35]Gülfem Isiklar Alptekin, Ayse Basar Bener:
An efficient spectrum management mechanism for cognitive radio networks. Integrated Network Management 2009: 653-660 - [c34]Yigit Kultur, Ekrem Kocaguneli, Ayse Basar Bener:
Domain specific phase by phase effort estimation in software projects. ISCIS 2009: 498-503 - [c33]Gul Calikli, Ayse Tosun, Ayse Basar Bener, Melih Celik:
The effect of granularity level on software defect prediction. ISCIS 2009: 531-536 - [c32]Ayse Tosun, Burak Turhan, Ayse Basar Bener:
Validation of network measures as indicators of defective modules in software systems. PROMISE 2009: 5 - [c31]Ayse Tosun, Burak Turhan, Ayse Basar Bener:
Practical considerations in deploying AI for defect prediction: a case study within the Turkish telecommunication industry. PROMISE 2009: 11 - [c30]Ayse Tosun, Ayse Basar Bener, Ekrem Kocaguneli:
BITS: Issue Tracking and Project Management Tool in Healthcare Software Development. SEKE 2009: 526-529 - [c29]Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener, Burak Turhan, Bora Caglayan:
Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool. SEKE 2009: 637-642 - 2008
- [j3]Yomi Kastro, Ayse Basar Bener:
A defect prediction method for software versioning. Softw. Qual. J. 16(4): 543-562 (2008) - [c28]Gülfem Isiklar, Ayse Basar Bener:
Brokering and Pricing Architecture over Cognitive Radio Wireless Networks. CCNC 2008: 1004-1008 - [c27]Asli Uyar, H. Nadir Ciray, Ayse Basar Bener, Mustafa Bahceci:
3P: Personalized Pregnancy Prediction in IVF Treatment Process. eHealth 2008: 58-65 - [c26]Ayse Tosun, Burak Turhan, Ayse Basar Bener:
Ensemble of software defect predictors: a case study. ESEM 2008: 318-320 - [c25]Ayse Bakir, Burak Turhan, Ayse Basar Bener:
Software Effort Estimation as a Classification Problem. ICSOFT (SE/MUSE/GSDCA) 2008: 274-277 - [c24]Gözde Koçak, Burak Turhan, Ayse Basar Bener:
Predicting Defects in a Large Telecommunication System. ICSOFT (SE/MUSE/GSDCA) 2008: 284-288 - [c23]Yasemin Kösker, Burak Turhan, Ayse Basar Bener:
Refactoring Prediction Using Class Complexity Metrics. ICSOFT (SE/MUSE/GSDCA) 2008: 289-292 - [c22]Burak Turhan, Ayse Basar Bener, Tim Menzies:
Nearest neighbor sampling for cross company defect predictors: abstract only. DEFECTS 2008: 26 - [c21]Tim Menzies, Burak Turhan, Ayse Bener, Gregory Gay, Bojan Cukic, Yue Jiang:
Implications of ceiling effects in defect predictors. PROMISE@ICSE 2008: 47-54 - [c20]Gülfem Isiklar Alptekin, Ayse Basar Bener:
Business Model Specific Charging Mechanism in Cognitive Radio. EUROMICRO-SEAA 2008: 156-163 - [c19]Burak Turhan, Gözde Koçak, Ayse Basar Bener:
Software Defect Prediction Using Call Graph Based Ranking (CGBR) Framework. EUROMICRO-SEAA 2008: 191-198 - [c18]Burak Turhan, Ayse Basar Bener:
Weighted Static Code Attributes for Software Defect Prediction. SEKE 2008: 143-148 - [c17]Yigit Kultur, Burak Turhan, Ayse Basar Bener:
ENNA: software effort estimation using ensemble of neural networks with associative memory. SIGSOFT FSE 2008: 330-338 - 2007
- [j2]Murat Sensoy, F. Canan Pembe, Hande Zirtiloglu, Pinar Yolum, Ayse Basar Bener:
Experience-based service provider selection in agent-mediated E-Commerce. Eng. Appl. Artif. Intell. 20(3): 325-335 (2007) - [c16]Erdem Savas Ilhan, Gokay Burak Akkus, Ayse Basar Bener:
Improved Service Ranking and Scoring: Semantic Advanced Matchmaker (SAM). ENASE 2007: 95-102 - [c15]Burak Turhan, F. Onur Kutlubay, Ayse Basar Bener:
Evaluation of Feature Extraction Methods on Software Cost Estimation. ESEM 2007: 497 - [c14]F. Onur Kutlubay, Burak Turhan, Ayse Basar Bener:
A Two-Step Model for Defect Density Estimation. EUROMICRO-SEAA 2007: 322-332 - [c13]Evren Ayorak, Ayse Basar Bener:
Super Peer Web Service Discovery Architecture. ICDE 2007: 1360-1364 - [c12]Burak Turhan, Ayse Basar Bener:
A Template for Real World Team Projects for Highly Populated Software Engineering Classes. ICSE 2007: 748-753 - [c11]Burak Turhan, Ayse Basar Bener:
Software Defect Prediction: Heuristics for Weighted Naïve Bayes. ICSOFT (SE) 2007: 244-249 - [c10]Burak Turhan, Ayse Basar Bener:
A Multivariate Analysis of Static Code Attributes for Defect Prediction. QSIC 2007: 231-237 - [c9]Yasemin Kösker, Ayse Basar Bener:
Synchronization of UML Based Refactoring with Graph Transformation. SEKE 2007: 232-237 - [c8]Erdem Savas Ilhan, Gokay Burak Akkus, Ayse Basar Bener:
SAM: Semantic Advanced Matchmaker. SEKE 2007: 698-703 - 2006
- [j1]Mustafa Adaçal, Ayse Basar Bener:
Mobile Web Services: A New Agent-Based Framework. IEEE Internet Comput. 10(3): 58-65 (2006) - [c7]Mehmet Senvar, Ayse Basar Bener:
Matchmaking of Semantic Web Services Using Semantic-Distance Information. ADVIS 2006: 177-186 - [c6]Evren Ceylan, F. Onur Kutlubay, Ayse Basar Bener:
Software Defect Identification Using Machine Learning Techniques. EUROMICRO-SEAA 2006: 240-247 - [c5]Gülfem Isiklar, Ayse Basar Bener, Fatih Alagöz:
A New Bandwidth Allocation Strategy in GEO Satellite Networks and Pricing the Differentiated Services. ICC 2006: 1855-1860 - [c4]Gülfem Isiklar, Mehmet Üner, Ayse Basar Bener:
A CRM-Based Pricing Model - For m-Commerce Services. ICE-B 2006: 118-125 - 2005
- [c3]Ali Emre Arpaci, Ayse Basar Bener:
Agent Based Dynamic Execution of BPEL Documents. ISCIS 2005: 332-341 - [c2]Gülfem Isiklar, Ayse Basar Bener:
A simple approach to charging and billing of packetized applications [next generation mobile networks]. WCNC 2005: 2440-2445 - 2003
- [c1]Çigdem Patlak, Ayse Basar Bener, Haluk Bingöl:
Web Service Standards and Real Business Scenario Challenges. EUROMICRO 2003: 421-424
Coauthor Index
Gülfem Isiklar Alptekin
aka: Gülfem Isiklar
aka: Gülfem Isiklar
Bora Caglayan
aka: Bora Çaglayan
aka: Bora Çaglayan
Gül Çalikli
aka: Gul Calikli
aka: Gul Calikli
[j60] [j59] [j57] [c145] [c144] [c143] [c142] [c141] [i23] [i22] [i21] [i19] [j56] [j55] [j54] [j53] [j52] [j51] [c140] [i18] [i17] [i16] [i15] [i14] [j50] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [j47] [j45] [c131] [c130] [c128] [c127] [i6] [i5] [c117]
Ayse Tosun Misirli
aka: Ayse Tosun
aka: Ayse Tosun
Sanaz Mohammadjafari
aka: Sanaz Mohammad Jafari
aka: Sanaz Mohammad Jafari
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