January 5, 2020 Conference paper Closed Access

Yiqun Chen; Stefan Winter; Neeraj Suri

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    "description": "<p>Performance bugs, i.e., program source code that&nbsp;is unnecessarily inefficient, have received significant attention&nbsp;by the research community in recent years. A number of&nbsp;empirical studies have investigated how these bugs differ from&nbsp;&ldquo;ordinary&rdquo; bugs that cause functional deviations and several&nbsp;approaches to aid their detection, localization, and removal have&nbsp;been proposed. Many of these approaches focus on certain subclasses&nbsp;of performance bugs, e.g., those resulting from redundant&nbsp;computations or unnecessary synchronization, and the evaluation&nbsp;of their effectiveness is usually limited to a small number of&nbsp;known instances of these bugs. To provide researchers working&nbsp;on performance bug detection and localization techniques with&nbsp;a larger corpus of performance bugs to evaluate against, we&nbsp;conduct a study of more than 700 performance bug fixing&nbsp;commits across 13 popular open source projects written in C&nbsp;and C++ and investigate the relative frequency of bug types as&nbsp;well as their complexity. Our results show that many of these&nbsp;fixes follow a small set of bug patterns, that they are contributed&nbsp;by experienced developers, and that the number of lines needed&nbsp;to fix performance bugs is highly project dependent.</p>", 
    "title": "Inferring Performance Bug Patterns from Developer Commits", 
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        "affiliation": "DEEDS Group, Dept. of Computer Science Technische Universit\u00a8at Darmstadt", 
        "name": "Yiqun Chen"
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        "affiliation": "DEEDS Group, Dept. of Computer Science Technische Universit\u00a8at Darmstadt", 
        "name": "Stefan Winter"
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      {
        "affiliation": "DEEDS Group, Dept. of Computer Science Technische Universit\u00a8at Darmstadt", 
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      "dates": "Oct 28 - 31, 2019", 
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