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ORCIDArie van Deursen
Person information
- affiliation: Delft University of Technology, The Netherlands
- affiliation (former): National Research Institute for Mathematics and Computer Science, Amsterdam, Netherlands
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2020 – today
- 2023
[j60]Chandra Shekhar Maddila, Sai Surya Upadrasta
, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests toward Completion. ACM Trans. Softw. Eng. Methodol. 32(2): 35:1-35:30 (2023)- [j59]Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen:
Generating Class-Level Integration Tests Using Call Site Information. IEEE Trans. Software Eng. 49(4): 2069-2087 (2023) - [c189]Arie van Deursen:
Getting Things Done: The Eelco Way. Eelco Visser Commemorative Symposium 2023: 1:1-1:4 - [c188]Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen:
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. CAIN 2023: 25-36 - [c187]Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen:
Maintaining and Monitoring AIOps Models Against Concept Drift. CAIN 2023: 98-99 - [c186]Arumoy Shome, Luís Cruz, Arie van Deursen:
Towards Understanding Machine Learning Testing in Practise. CAIN 2023: 117-118 - [c185]George Siachamis, Kyriakos Psarakis, Marios Fragkoulis, Odysseas Papapetrou, Arie van Deursen, Asterios Katsifodimos:
Adaptive Distributed Streaming Similarity Joins. DEBS 2023: 25-36 - [c184]Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen:
Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques. GREENS@ICSE 2023: 17-18 - [c183]George Siachamis, Job Kanis, Wybe Koper, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Asterios Katsifodimos:
Towards Evaluating Stream Processing Autoscalers. ICDEW 2023: 95-99 - [c182]Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen:
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft. ICSE-SEIP 2023: 162-172 - [c181]Tim van Dam, Maliheh Izadi, Arie van Deursen:
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study. MSR 2023: 170-182 - [c180]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
STACC: Code Comment Classification using SentenceTransformers. NLBSE@ICSE 2023: 28-31 - [c179]Elvan Kula, Eric Greuter, Arie van Deursen, Georgios Gousios:
Dynamic Prediction of Delays in Software Projects using Delay Patterns and Bayesian Modeling. ESEC/SIGSOFT FSE 2023: 1012-1023 - [c178]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie. SANER 2023: 260-271 - [i43]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries. CoRR abs/2301.01701 (2023) - [i42]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge. CoRR abs/2302.07735 (2023) - [i41]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
STACC: Code Comment Classification using SentenceTransformers. CoRR abs/2302.13149 (2023) - [i40]Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen:
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. CoRR abs/2303.13972 (2023) - [i39]Tim van Dam, Maliheh Izadi, Arie van Deursen:
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study. CoRR abs/2304.12269 (2023) - [i38]Arumoy Shome, Luis Cruz, Arie van Deursen:
Towards Understanding Machine Learning Testing in Practise. CoRR abs/2305.04988 (2023) - [i37]Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen:
Batching for Green AI - An Exploratory Study on Inference. CoRR abs/2307.11434 (2023) - [i36]Patrick Altmeyer, Arie van Deursen, Cynthia C. S. Liem:
Explaining Black-Box Models through Counterfactuals. CoRR abs/2308.07198 (2023) - [i35]Patrick Altmeyer, Giovan Angela, Aleksander Buszydlik, Karol Dobiczek, Arie van Deursen, Cynthia C. S. Liem:
Endogenous Macrodynamics in Algorithmic Recourse. CoRR abs/2308.08187 (2023) - [i34]Jonathan Katzy, Maliheh Izadi, Arie van Deursen:
On the Impact of Language Selection for Training and Evaluating Programming Language Models. CoRR abs/2308.13354 (2023) - [i33]Elvan Kula, Eric Greuter, Arie van Deursen, Georgios Gousios:
Dynamic Prediction of Delays in Software Projects using Delay Patterns and Bayesian Modeling. CoRR abs/2309.12449 (2023) - [i32]Lorena Poenaru-Olaru, Natalia Karpova, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen:
Maintenance Techniques for Anomaly Detection AIOps Solutions. CoRR abs/2311.10421 (2023) - 2022
- [j58]Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large-scale Software Development. ACM Trans. Softw. Eng. Methodol. 31(2): 22:1-22:26 (2022) - [j57]Elvan Kula, Eric Greuter, Arie van Deursen, Georgios Gousios:
Factors Affecting On-Time Delivery in Large-Scale Agile Software Development. IEEE Trans. Software Eng. 48(9): 3573-3592 (2022) - [c177]Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer:
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. IEEE Big Data 2022: 3364-3373 - [c176]Arumoy Shome, Luís Cruz, Arie van Deursen:
Data smells in public datasets. CAIN 2022: 205-216 - [c175]Haiyin Zhang, Luís Cruz, Arie van Deursen:
Code smells for machine learning applications. CAIN 2022: 217-228 - [c174]Sara Salimzadeh, Ujwal Gadiraju, Claudia Hauff, Arie van Deursen:
Exploring the Feasibility of Crowd-Powered Decomposition of Complex User Questions in Text-to-SQL Tasks. HT 2022: 154-165 - [c173]Kevin Anderson, Denise Visser, Jan-Willem Mannen, Yuxiang Jiang, Arie van Deursen:
Challenges in Applying Continuous Experimentation: A Practitioners' Perspective. ICSE (SEIP) 2022: 107-114 - [c172]Mitchell Olsthoorn, Dimitri Michel Stallenberg, Arie van Deursen, Annibale Panichella:
SynTest-Solidity: Automated Test Case Generation and Fuzzing for Smart Contracts. ICSE-Companion 2022: 202-206 - [c171]Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen:
"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint. ICSE (SEIP) 2022: 211-220 - [c170]Matthías Páll Gissurarson, Leonhard Applis, Annibale Panichella, Arie van Deursen, David Sands:
PROPR: Property-Based Automatic Program Repair. ICSE 2022: 1768-1780 - [c169]Mitchell Olsthoorn, Arie van Deursen, Annibale Panichella:
Guiding Automated Test Case Generation for Transaction-Reverting Statements in Smart Contracts. ICSME 2022: 163-174 - [c168]Ching-Chi Chuang, Luís Cruz, Robbert van Dalen, Vladimir Mikovski, Arie van Deursen:
Removing dependencies from large software projects: are you really sure? SCAM 2022: 105-115 - [c167]Chandra Shekhar Maddila, Suhas Shanbhogue, Apoorva Agrawal, Thomas Zimmermann, Chetan Bansal, Nicole Forsgren, Divyanshu Agrawal, Kim Herzig, Arie van Deursen:
Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale. ESEC/SIGSOFT FSE 2022: 1246-1256 - [i31]Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen:
"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint. CoRR abs/2201.08246 (2022) - [i30]Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen:
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations. CoRR abs/2202.02385 (2022) - [i29]Arumoy Shome, Luis Cruz, Arie van Deursen:
Data Smells in Public Datasets. CoRR abs/2203.08007 (2022) - [i28]Haiyin Zhang, Luis Cruz, Arie van Deursen:
Code Smells for Machine Learning Applications. CoRR abs/2203.13746 (2022) - [i27]Maliheh Izadi, Pooya Rostami Mazrae, Tom Mens, Arie van Deursen:
LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings. CoRR abs/2211.00381 (2022) - [i26]Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer:
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. CoRR abs/2211.13098 (2022) - 2021
- [j56]Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen:
AI lifecycle models need to be revised. Empir. Softw. Eng. 26(5): 95 (2021) - [j55]Jeanderson Cândido, Maurício Aniche, Arie van Deursen:
Log-based software monitoring: a systematic mapping study. PeerJ Comput. Sci. 7: e489 (2021) - [j54]Alexandre Perez, Rui Abreu, Arie van Deursen:
A Theoretical and Empirical Analysis of Program Spectra Diagnosability. IEEE Trans. Software Eng. 47(2): 412-431 (2021) - [c166]Bart van Oort, Luis Cruz, Maurício Aniche, Arie van Deursen:
The Prevalence of Code Smells in Machine Learning projects. WAIN@ICSE 2021: 35-42 - [c165]Pouria Derakhshanfar, Xavier Devroey, Gilles Perrouin, Andy Zaidman, Arie van Deursen:
Summary of Search-based Crash Reproduction using Behavioral Model Seeding. ICST 2021: 281 - [c164]Elvan Kula, Arie van Deursen, Georgios Gousios:
Modeling Team Dynamics for the Characterization and Prediction of Delays in User Stories. ASE 2021: 991-1002 - [c163]Leonhard Applis, Annibale Panichella, Arie van Deursen:
Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. ASE 2021: 1377-1381 - [c162]Jeanderson Cândido, Jan Haesen, Maurício Aniche, Arie van Deursen:
An Exploratory Study of Log Placement Recommendation in an Enterprise System. MSR 2021: 143-154 - [i25]Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. CoRR abs/2101.06542 (2021) - [i24]Jeanderson Cândido, Jan Haesen, Maurício Finavaro Aniche, Arie van Deursen:
An Exploratory Study of Log Placement Recommendation in an Enterprise System. CoRR abs/2103.01755 (2021) - [i23]Bart van Oort, Luis Cruz, Maurício Finavaro Aniche, Arie van Deursen:
The Prevalence of Code Smells in Machine Learning projects. CoRR abs/2103.04146 (2021) - [i22]Vivek Arora, Enrique Larios Vargas, Maurício Aniche, Arie van Deursen:
Secure Software Engineering in the Financial Services: A Practitioners' Perspective. CoRR abs/2104.03476 (2021) - [i21]Chandra Shekhar Maddila, Apoorva Agrawal, Thomas Zimmermann, Nicole Forsgren, Kim Herzig, Arie van Deursen:
Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale. CoRR abs/2110.08403 (2021) - 2020
- [j53]Mozhan Soltani, Pouria Derakhshanfar, Xavier Devroey, Arie van Deursen:
A benchmark-based evaluation of search-based crash reproduction. Empir. Softw. Eng. 25(1): 96-138 (2020) - [j52]Pouria Derakhshanfar, Xavier Devroey, Gilles Perrouin, Andy Zaidman, Arie van Deursen:
Search-based crash reproduction using behavioural model seeding. Softw. Test. Verification Reliab. 30(3) (2020) - [j51]Kristín Fjóla Tómasdóttir, Mauricio Finavaro Aniche, Arie van Deursen:
The Adoption of JavaScript Linters in Practice: A Case Study on ESLint. IEEE Trans. Software Eng. 46(8): 863-891 (2020) - [j50]Mozhan Soltani, Annibale Panichella, Arie van Deursen:
Search-Based Crash Reproduction and Its Impact on Debugging. IEEE Trans. Software Eng. 46(12): 1294-1317 (2020) - [c161]Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie van Deursen, Annibale Panichella:
Crash reproduction using helper objectives. GECCO Companion 2020: 309-310 - [c160]Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie van Deursen, Annibale Panichella:
Good Things Come In Threes: Improving Search-based Crash Reproduction With Helper Objectives. ASE 2020: 211-223 - [c159]Mitchell Olsthoorn, Arie van Deursen, Annibale Panichella:
Generating Highly-structured Input Data by Combining Search-based Testing and Grammar-based Fuzzing. ASE 2020: 1224-1228 - [c158]Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen:
Botsing, a Search-based Crash Reproduction Framework for Java. ASE 2020: 1278-1282 - [c157]Hennie Huijgens, Ayushi Rastogi, Ernst Mulders, Georgios Gousios, Arie van Deursen:
Questions for data scientists in software engineering: a replication. ESEC/SIGSOFT FSE 2020: 568-579 - [i20]Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen:
Towards Integration-Level Test Case Generation Using Call Site Information. CoRR abs/2001.04221 (2020) - [i19]Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen:
AI Lifecycle Models Need To Be Revised. An Exploratory Study in Fintech. CoRR abs/2010.02716 (2020) - [i18]Hennie Huijgens, Ayushi Rastogi, Ernst Mulders, Georgios Gousios, Arie van Deursen:
Questions for Data Scientists in Software Engineering: A Replication. CoRR abs/2010.03165 (2020) - [i17]Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests Towards Completion. CoRR abs/2011.12468 (2020)
2010 – 2019
- 2019
- [j49]Marco di Biase, Magiel Bruntink, Arie van Deursen, Alberto Bacchelli:
The effects of change decomposition on code review - a controlled experiment. PeerJ Comput. Sci. 5: e193 (2019) - [j48]Markus Voelter, Bernd Kolb, Tamás Szabó, Daniel Ratiu, Arie van Deursen:
Lessons learned from developing mbeddr: a case study in language engineering with MPS. Softw. Syst. Model. 18(1): 585-630 (2019) - [c156]Sohon Roy, Arie van Deursen, Felienne Hermans:
Perceived Relevance of Automatic Code Inspection in End-User Development: A Study on VBA. EASE 2019: 167-176 - [c155]Marco di Biase, Ayushi Rastogi, Magiel Bruntink, Arie van Deursen:
The delta maintainability model: measuring maintainability of fine-grained code changes. TechDebt@ICSE 2019: 113-122 - [c154]Hennie Huijgens, Eric Greuter, Jerry Brons, Evert A. van Doorn, Ioannis Papadopoulos, Francisco Morales Martinez, Mauricio Finavaro Aniche, Otto Visser, Arie van Deursen:
Factors affecting cloud infra-service development lead times: a case study at ING. ICSE (SEIP) 2019: 233-242 - [c153]Maria Kechagia, Xavier Devroey, Annibale Panichella, Georgios Gousios, Arie van Deursen:
Effective and efficient API misuse detection via exception propagation and search-based testing. ISSTA 2019: 192-203 - [c152]Daan Schipper, Maurício Finavaro Aniche, Arie van Deursen:
Tracing back log data to its log statement: from research to practice. MSR 2019: 545-549 - [c151]Maurício Finavaro Aniche, Felienne Hermans, Arie van Deursen:
Pragmatic Software Testing Education. SIGCSE 2019: 414-420 - [c150]Jos Winter, Maurício Finavaro Aniche, Jürgen Cito, Arie van Deursen:
Monitoring-aware IDEs. ESEC/SIGSOFT FSE 2019: 420-431 - [c149]Elvan Kula, Ayushi Rastogi, Hennie Huijgens, Arie van Deursen, Georgios Gousios:
Releasing fast and slow: an exploratory case study at ING. ESEC/SIGSOFT FSE 2019: 785-795 - [i16]Pouria Derakhshanfar, Xavier Devroey, Gilles Perrouin, Andy Zaidman, Arie van Deursen:
Search-based Crash Reproduction using Behavioral Model Seeding. CoRR abs/1912.04606 (2019) - [i15]Jeanderson Cândido, Maurício Finavaro Aniche, Arie van Deursen:
Contemporary Software Monitoring: A Systematic Literature Review. CoRR abs/1912.05878 (2019) - 2018
- [j47]Nicolas Dintzner, Arie van Deursen, Martin Pinzger:
FEVER: An approach to analyze feature-oriented changes and artefact co-evolution in highly configurable systems. Empir. Softw. Eng. 23(2): 905-952 (2018) - [j46]Mauricio Finavaro Aniche, Gabriele Bavota, Christoph Treude, Marco Aurélio Gerosa, Arie van Deursen:
Code smells for Model-View-Controller architectures. Empir. Softw. Eng. 23(4): 2121-2157 (2018) - [c148]Elvan Kula, Ayushi Rastogi, Hennie Huijgens, Arie van Deursen:
Characterizing Rapid Releases in a Large Banking Company: A Case Study. BENEVOL 2018: 56-60 - [c147]Hennie Huijgens, Davide Spadini, Dick Stevens, Niels Visser, Arie van Deursen:
Software analytics in continuous delivery: a case study on success factors. ESEM 2018: 25:1-25:10 - [c146]Joop Aué, Maurício Finavaro Aniche, Maikel Lobbezoo, Arie van Deursen:
An exploratory study on faults in web API integration in a large-scale payment company. ICSE (SEIP) 2018: 13-22 - [c145]Joseph Hejderup, Arie van Deursen, Georgios Gousios:
Software ecosystem call graph for dependency management. ICSE (NIER) 2018: 101-104 - [c144]Anand Ashok Sawant, Maurício Finavaro Aniche, Arie van Deursen, Alberto Bacchelli:
Understanding developers' needs on deprecation as a language feature. ICSE 2018: 561-571 - [c143]Jeroen Castelein, Maurício Finavaro Aniche, Mozhan Soltani, Annibale Panichella, Arie van Deursen:
Search-based test data generation for SQL queries. ICSE 2018: 1220-1230 - [c142]Yang Feng, Kaj Dreef, James A. Jones, Arie van Deursen:
Hierarchical abstraction of execution traces for program comprehension. ICPC 2018: 86-96 - [c141]Sohon Roy, Arie van Deursen, Felienne Hermans:
On the Effectiveness of Automatically Inferred Invariants in Detecting Regression Faults in Spreadsheets. QRS Companion 2018: 199-206 - [c140]Mozhan Soltani, Pouria Derakhshanfar, Annibale Panichella, Xavier Devroey, Andy Zaidman, Arie van Deursen:
Single-objective Versus Multi-objectivized Optimization for Evolutionary Crash Reproduction. SSBSE 2018: 325-340 - [i14]Marco di Biase, Magiel Bruntink, Arie van Deursen, Alberto Bacchelli:
The effects of change-decomposition on code review - A Controlled Experiment. CoRR abs/1805.10978 (2018) - [i13]Marco di Biase, Magiel Bruntink, Arie van Deursen, Alberto Bacchelli:
The effects of change decomposition on code review - a controlled experiment. PeerJ Prepr. 6: e27438 (2018) - 2017
- [j45]Roberta Coelho, Lucas Almeida, Georgios Gousios, Arie van Deursen, Christoph Treude:
Exception handling bug hazards in Android - Results from a mining study and an exploratory survey. Empir. Softw. Eng. 22(3): 1264-1304 (2017) - [j44]Hennie Huijgens, Arie van Deursen, Rini van Solingen:
The effects of perceived value and stakeholder satisfaction on software project impact. Inf. Softw. Technol. 89: 19-36 (2017) - [j43]Steven Raemaekers, Arie van Deursen, Joost Visser:
Semantic versioning and impact of breaking changes in the Maven repository. J. Syst. Softw. 129: 140-158 (2017) - [j42]Nicolas Dintzner, Arie van Deursen, Martin Pinzger:
Analysing the Linux kernel feature model changes using FMDiff. Softw. Syst. Model. 16(1): 55-76 (2017) - [c139]Hennie Huijgens, Arie van Deursen, Leandro L. Minku, Chris Lokan:
Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets. EASE 2017: 51-60 - [c138]Michael de Jong, Arie van Deursen, Anthony Cleve:
Zero-Downtime SQL Database Schema Evolution for Continuous Deployment. ICSE-SEIP 2017: 143-152 - [c137]Mozhan Soltani, Annibale Panichella, Arie van Deursen:
A guided genetic algorithm for automated crash reproduction. ICSE 2017: 209-220 - [c136]Alexandre Perez, Rui Abreu, Arie van Deursen:
A test-suite diagnosability metric for spectrum-based fault localization approaches. ICSE 2017: 654-664 - [c135]Rick Wieman, Mauricio Finavaro Aniche, Willem Lobbezoo, Sicco Verwer, Arie van Deursen:
An Experience Report on Applying Passive Learning in a Large-Scale Payment Company. ICSME 2017: 564-573 - [c134]Aaron Ang, Alexandre Perez, Arie van Deursen, Rui Abreu:
Revisiting the Practical Use of Automated Software Fault Localization Techniques. ISSRE Workshops 2017: 175-182 - [c133]Arie van Deursen:
Software engineering without borders. ASE 2017: 3 - [c132]Kristín Fjóla Tómasdóttir, Mauricio Finavaro Aniche, Arie van Deursen:
Why and how JavaScript developers use linters. ASE 2017: 578-589 - [c131]Arie van Deursen, Mauricio Finavaro Aniche, Joop Aué, Rogier Slag, Michael de Jong, Alex Nederlof, Eric Bouwers:
A Collaborative Approach to Teaching Software Architecture. SIGCSE 2017: 591-596 - [c130]Sohon Roy, Felienne Hermans, Arie van Deursen:
Spreadsheet testing in practice. SANER 2017: 338-348 - [e6]Eric Bodden, Wilhelm Schäfer, Arie van Deursen, Andrea Zisman:
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, ESEC/FSE 2017, Paderborn, Germany, September 4-8, 2017. ACM 2017, ISBN 978-1-4503-5105-8 [contents] - 2016
- [c129]Hennie Huijgens, Arie van Deursen, Rini van Solingen:
An exploratory study on the effects of perceived value and stakeholder satisfaction on software projects. EASE 2016: 31:1-31:10 - [c128]Mozhan Soltani, Annibale Panichella, Arie van Deursen:
Evolutionary testing for crash reproduction. SBST@ICSE 2016: 1-4 - [c127]Mauricio Finavaro Aniche, Gabriele Bavota, Christoph Treude, Arie van Deursen, Marco Aurélio Gerosa:
A Validated Set of Smells in Model-View-Controller Architectures. ICSME 2016: 233-243 - [c126]Marieke Huisman, Herbert Bos, Sjaak Brinkkemper, Arie van Deursen, Jan Friso Groote, Patricia Lago, Jaco van de Pol, Eelco Visser:
Software that Meets Its Intent. ISoLA (2) 2016: 609-625 - [c125]Hennie Huijgens, Magiel Bruntink, Arie van Deursen, Tijs van der Storm, Frank W. Vogelezang:
An exploratory st