29 citations · 52 across the 9 of their papers we have counts for
7 papers · 1 filter
Automated Program Repair: Emerging trends pose and expose problems for benchmarks
Joseph Renzullo, Pemma Reiter, Westley Weimer +1
Machine learning (ML) now pervades the field of Automated Program Repair (APR). Algorithms deploy neural machine translation and large language models (LLMs) to generate software p…
High Expectations: An Observational Study of Programming and Cannabis Intoxication
Wenxin He, Manasvi Parikh, Westley Weimer +1
Anecdotal evidence of cannabis use by professional programmers abounds. Recent studies have found that some professionals regularly use cannabis while programming even for work-rel…
From Organizations to Individuals: Psychoactive Substance Use By Professional Programmers
Kaia Newman, Madeline Endres, Brittany Johnson +1
Psychoactive substances, which influence the brain to alter perceptions and moods, have the potential to have positive and negative effects on critical software engineering tasks.…
Relating Reading, Visualization, and Coding for New Programmers: A Neuroimaging Study
Madeline Endres, Zachary Karas, Xiaosu Hu +2
Understanding how novices reason about coding at a neurological level has implications for training the next generation of software engineers. In recent years, medical imaging has…
Genetic Improvement @ ICSE 2020
William B. Langdon, Westley Weimer, Justyna Petke +13
Following Prof. Mark Harman of Facebook's keynote and formal presentations (which are recorded in the proceedings) there was a wide ranging discussion at the eighth international G…
Using Dynamic Analysis to Generate Disjunctive Invariants
ThanhVu Nguyen, Deepak Kapur, Westley Weimer +1
Program invariants are important for defect detection, program verification, and program repair. However, existing techniques have limited support for important classes of invarian…