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Wed 11 Nov 2020 17:37 - 17:38 at Virtual room 1 - Recommendation

Using online Q&A forums, such as Stack Overflow (SO), for guidance to resolve program bugs, among other development issues, is commonplace in modern software development practice. Runtime exceptions (RE) is one such important class of bugs that is actively discussed on SO. In this work we present a technique and prototype tool called MAESTRO that can automatically recommend an SO post that is most relevant to a given Java RE in a developer's code. MAESTRO compares the exception-generating program scenario in the developer's code with that discussed in an SO post and returns the post with the closest match. To extract and compare the exception scenario effectively, MAESTRO first uses the answer code snippets in a post to implicate a subset of lines in the post's question code snippet as responsible for the exception and then compares these lines with the developer's code in terms of their respective Abstract Program Graph (APG) representations. The APG is a simplified and abstracted derivative of an abstract syntax tree, proposed in this work, that allows an effective comparison of the functionality embodied in the high-level program structure, while discarding many of the low-level syntactic or semantic differences. We evaluate MAESTRO on a benchmark of 78 instances of Java REs extracted from the top 500 Java projects on GitHub and show that MAESTRO can return either a highly relevant or somewhat relevant SO post corresponding to the exception instance in 71% of the cases, compared to relevant posts returned in only 8% - 44% instances, by four competitor tools based on state-of-the-art techniques. We also conduct a user experience study of MAESTRO with 10 Java developers, where the participants judge MAESTRO reporting a highly relevant or somewhat relevant post in 80% of the instances. In some cases the post is judged to be even better than the one manually found by the participant.

Wed 11 Nov
Times are displayed in time zone: (UTC) Coordinated Universal Time change

17:30 - 17:32
Talk
Research Papers
Wenkai XieFudan University, China, Xin PengFudan University, China, Mingwei LiuFudan University, China, Christoph TreudeUniversity of Adelaide, Australia, Zhenchang XingAustralian National University, Australia, Xiaoxin ZhangFudan University, China, Wenyun ZhaoFudan University, China
DOI
17:33 - 17:34
Talk
Research Papers
Tam NguyenAuburn University, USA, Phong VuAuburn University, USA, Tung NguyenAuburn University, USA
DOI
17:35 - 17:36
Talk
Research Papers
Arman ShahbazianGoogle, USA, Suhrid KarthikUniversity of Southern California, USA, Yuriy BrunUniversity of Massachusetts Amherst, Nenad MedvidovićUniversity of Southern California, USA
Link to publication DOI Pre-print Media Attached
17:37 - 17:38
Talk
Research Papers
Sonal MahajanFujitsu Labs, USA, Negarsadat AbolhassaniUniversity of Southern California, USA, Mukul R. PrasadFujitsu Labs, USA
DOI Pre-print Media Attached
17:39 - 17:40
Talk
Student Research Competition
Dragos StrugarInnopolis University, Russia
DOI
17:41 - 17:42
Talk
Research Papers
Chris BrownNorth Carolina State University, USA, Chris ParninNorth Carolina State University, USA
DOI
17:43 - 18:00
Talk
Paper Presentations
Chris BrownNorth Carolina State University, USA, Dragos StrugarInnopolis University, Russia, Mingwei LiuFudan University, China, Sonal MahajanFujitsu Labs, USA, Arman ShahbazianUniversity of Southern California, M: Massimiliano Di PentaUniversity of Sannio, Italy