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ORCIDInformation & Software Technology, Volume 155
Volume 155, March 2023
- Kaj Dreef, Vijay Krishna Palepu, James A. Jones
:
Exploring granular test coverage and its evolution with matrix visualizations. 107085
- Amir Elmishali, Meir Kalech:
Issues-Driven features for software fault prediction. 107102 - Muhammad Iqbal, Jia Cheng Han, Zhi Quan Zhou, Dave Towey, Tsong Yueh Chen:
Metamorphic testing of Advanced Driver-Assistance System (ADAS) simulation platforms: Lane Keeping Assist System (LKAS) case studies. 107104 - Ziyuan Wang, Dexin Bu, Nannan Wang, Sijie Yu, Shanyi Gou, Aiyue Sun:
An empirical study on bugs in JavaScript engines. 107105
- Bruna Ferreira, Silvio Marques, Marcos Kalinowski, Hélio Lopes, Simone D. J. Barbosa:
Lessons learned to improve the UX practices in agile projects involving data science and process automation. 107106
- Svyatoslav Kotusev, Sherah Kurnia, Rod Dilnutt:
Enterprise architecture artifacts as boundary objects: An empirical analysis. 107108 - Yoon-Ho Choi, Jaechang Nam:
WINE: Warning miner for improving bug finders. 107109
- Yekaterina Kovaleva, Sonja Hyrynsalmi, Andrey Saltan, Ari Happonen, Jussi Kasurinen:
Becoming an entrepreneur: A study of factors with women from the tech sector. 107110
- Fabio Ferreira, Marco Túlio Valente:
Detecting code smells in React-based Web apps. 107111 - Lech Madeyski, Tomasz Lewowski:
Detecting code smells using industry-relevant data. 107112 - Weiwei Wang, Shumei Wu, Zheng Li, Ruilian Zhao:
Parallel evolutionary test case generation for web applications. 107113 - Ting Shu, Cuiping Wu, Zuohua Ding:
Boosting input data sequences generation for testing EFSM-specified systems using deep reinforcement learning. 107114 - Jie J. W. Wu, Thomas A. Mazzuchi, Shahram Sarkani:
Comparison of multi-criteria decision-making methods for online controlled experiments in a launch decision-making framework. 107115
- Tien Rahayu Tulili, Andrea Capiluppi, Ayushi Rastogi:
Burnout in software engineering: A systematic mapping study. 107116
- Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei:
PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks. 107117
- Paul Leger, Alexandre Bergel, Juan Pablo Sandoval Alcocer, Leonel Merino:
Introduction to Special Issue on Visualization Applied to Software Engineering. 107118
- Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Zan Wang:
Understanding and predicting incident mitigation time. 107119
- Sultan M. Al Khatib, Khalid Alkharabsheh, Sadi Alawadi:
Selection of human evaluators for design smell detection using dragonfly optimization algorithm: An empirical study. 107120
- Szymon Stradowski, Lech Madeyski:
Machine learning in software defect prediction: A business-driven systematic mapping study. 107128
- Florian Tambon, Foutse Khomh, Giuliano Antoniol:
A probabilistic framework for mutation testing in deep neural networks. 107129
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