Software bloat analysis: finding, removing, and preventing performance problems in modern large-scale object-oriented applications

  • Authors:

  • Guoqing Xu;Nick Mitchell;Matthew Arnold;Atanas Rountev;Gary Sevitsky

  • Affiliations:

  • Ohio State University, Columbus, OH, USA;IBM T. J. Watson Research Center, Hawthorne, NY, USA;IBM T. J. Watson Research Center, Hawthorne, NY, USA;Ohio State University, Columbus, OH, USA;IBM T. J. Watson Research Center, Hawthorne, NY, USA

  • Venue:
  • Proceedings of the FSE/SDP workshop on Future of software engineering research
  • Year:
  • 2010

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Abstract

Generally believed to be a problem belonging to the compiler and architecture communities, performance optimization has rarely gained attention in mainstream software engineering research. However, due to the proliferation of large-scale object-oriented software designed to solve increasingly complex problems, performance issues stand out, preventing applications from meeting their performance requirements. Many such issues result from design principles adopted widely in the software research community, such as the idea of software reuse and design patterns. We argue that, in the modern era when Moore's dividend becomes less obvious, performance optimization is more of a software engineering problem than ever and should receive much more attention in the future. We explain why this is the case, review what has been achieved in software bloat analysis, present challenges, and provide a road map for future work.