Search Results - "IEEE transactions on software engineering"

Machine Learning Testing: Survey, Landscapes and Horizons by Zhang, Jie M., Harman, Mark, Ma, Lei, Liu, Yang

“…This paper provides a comprehensive survey of techniques for testing machine learning systems; Machine Learning Testing (ML testing) research. It covers 144…”
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Deep Learning Based Vulnerability Detection: Are We There Yet? by Chakraborty, Saikat, Krishna, Rahul, Ding, Yangruibo, Ray, Baishakhi

“…Automated detection of software vulnerabilities is a fundamental problem in software security. Existing program analysis techniques either suffer from high…”
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Smart Contract Development: Challenges and Opportunities by Zou, Weiqin, Lo, David, Kochhar, Pavneet Singh, Le, Xuan-Bach Dinh, Xia, Xin, Feng, Yang, Chen, Zhenyu, Xu, Baowen

“…Smart contract, a term which was originally coined to refer to the automation of legal contracts in general, has recently seen much interest due to the advent…”
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SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair by Chen, Zimin, Kommrusch, Steve, Tufano, Michele, Pouchet, Louis-Noel, Poshyvanyk, Denys, Monperrus, Martin

“…This paper presents a novel end-to-end approach to program repair based on sequence-to-sequence learning. We devise, implement, and evaluate a technique,…”
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The Art, Science, and Engineering of Fuzzing: A Survey by Manes, Valentin J.M., Han, HyungSeok, Han, Choongwoo, Cha, Sang Kil, Egele, Manuel, Schwartz, Edward J., Woo, Maverick

“…Among the many software testing techniques available today, fuzzing has remained highly popular due to its conceptual simplicity, its low barrier to…”
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Coverage-Based Greybox Fuzzing as Markov Chain by Bohme, Marcel, Van-Thuan Pham, Roychoudhury, Abhik

“…Coverage-based Greybox Fuzzing (CGF) is a random testing approach that requires no program analysis. A new test is generated by slightly mutating a seed input…”
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Automatic Software Repair: A Survey by Gazzola, Luca, Micucci, Daniela, Mariani, Leonardo

“…Despite their growing complexity and increasing size, modern software applications must satisfy strict release requirements that impose short bug fixing and…”
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A Survey on Software Fault Localization by Wong, W. Eric, Ruizhi Gao, Yihao Li, Abreu, Rui, Wotawa, Franz

“…Software fault localization, the act of identifying the locations of faults in a program, is widely recognized to be one of the most tedious, time consuming,…”
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Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study by Zhou, Xiang, Peng, Xin, Xie, Tao, Sun, Jun, Ji, Chao, Li, Wenhai, Ding, Dan

“…The complexity and dynamism of microservice systems pose unique challenges to a variety of software engineering tasks such as fault analysis and debugging. In…”
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An Empirical Study of Fault Localization Families and Their Combinations by Zou, Daming, Liang, Jingjing, Xiong, Yingfei, Ernst, Michael D., Zhang, Lu

“…The performance of fault localization techniques is critical to their adoption in practice. This paper reports on an empirical study of a wide range of fault…”
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The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models by Tantithamthavorn, Chakkrit, Hassan, Ahmed E., Matsumoto, Kenichi

“…Defect models that are trained on class imbalanced datasets (i.e., the proportion of defective and clean modules is not equally represented) are highly…”
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A Systematic Literature Review and Meta-Analysis on Cross Project Defect Prediction by Hosseini, Seyedrebvar, Turhan, Burak, Gunarathna, Dimuthu

“…Background: Cross project defect prediction (CPDP) recently gained considerable attention, yet there are no systematic efforts to analyse existing empirical…”
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The Impact of Automated Parameter Optimization on Defect Prediction Models by Tantithamthavorn, Chakkrit, McIntosh, Shane, Hassan, Ahmed E., Matsumoto, Kenichi

“…Defect prediction models—classifiers that identify defect-prone software modules—have configurable parameters that control their characteristics (e.g., the…”
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A Survey of App Store Analysis for Software Engineering by Martin, William, Sarro, Federica, Yue Jia, Yuanyuan Zhang, Harman, Mark

“…App Store Analysis studies information about applications obtained from app stores. App stores provide a wealth of information derived from users that would…”
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A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction by Song, Qinbao, Guo, Yuchen, Shepperd, Martin

“…Context: Software defect prediction (SDP) is an important challenge in the field of software engineering, hence much research work has been conducted, most…”
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An Empirical Comparison of Model Validation Techniques for Defect Prediction Models by Tantithamthavorn, Chakkrit, McIntosh, Shane, Hassan, Ahmed E., Matsumoto, Kenichi

“…Defect prediction models help software quality assurance teams to allocate their limited resources to the most defect-prone modules. Model validation…”
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A Survey on Metamorphic Testing by Segura, Sergio, Fraser, Gordon, Sanchez, Ana B., Ruiz-Cortes, Antonio

“…A test oracle determines whether a test execution reveals a fault, often by comparing the observed program output to the expected output. This is not always…”
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Deep Semantic Feature Learning for Software Defect Prediction by Wang, Song, Liu, Taiyue, Nam, Jaechang, Tan, Lin

“…Software defect prediction, which predicts defective code regions, can assist developers in finding bugs and prioritizing their testing efforts. Traditional…”
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The Oracle Problem in Software Testing: A Survey by Barr, Earl T., Harman, Mark, McMinn, Phil, Shahbaz, Muzammil, Shin Yoo

“…Testing involves examining the behaviour of a system in order to discover potential faults. Given an input for a system, the challenge of distinguishing the…”
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RefactoringMiner 2.0 by Tsantalis, Nikolaos, Ketkar, Ameya, Dig, Danny

“…Refactoring detection is crucial for a variety of applications and tasks: (i) empirical studies about code evolution, (ii) tools for library API migration,…”
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