SHF: Small: RUI: Characterizing, Detecting, and Fixing Performance Bugs That Have Non-Intrusive Fixes

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Software performance is critical for the success of a softwareproject. Performance bugs are programming errors that slow downexecution. Many recent techniques have been proposed to detectvarious performance bugs. However, there are still many performancebugs that cannot be detected by existing techniques. Furthermore, acrucial and practical aspect of performance bugs has not received theattention it deserves: How likely are developers to fix a detectedperformance bug?To significantly improve software performance, this project willdevelop a set of novel techniques that focus on a class of performancebugs that are very likely to be fixed by developers, specifically onperformance bugs that have non-intrusive fixes. Performance bugs thathave non-intrusive fixes are very likely to be fixed by developersbecause the benefits of the fix (i.e., code speedup) clearly outweighthe drawbacks of the fix (e.g., introducing new correctness bugs,breaking good software engineering practices, development time andeffort, etc). This project will address three fundamental challenges:(1) What performance bugs have non-intrusive fixes and what are theirdefining characteristics? (2) How to automatically detect performancebugs and how to establish that their fixes will be non-intrusive? (3)How to automatically fix some of the detected performance bugs? Thiswork will broaden our understanding of an understudied yet importantaspect of software performance and will provide automated solutions toimprove software performance.