OSDC: adapting ODC for developing more secure software

  • Authors:
  • Umme Hunny;Mohammad Zulkernine;Komminist Weldemariam

  • Affiliations:
  • Queen's University, Kingston, Canada;Queen's University, Kingston, Canada;Queen's University, Kingston, Canada

  • Venue:
  • Proceedings of the 28th Annual ACM Symposium on Applied Computing
  • Year:
  • 2013

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Abstract

Software defect data provide an invaluable source of information for developers, testers and so forth. A concise view of a software profile, its development process, and their relationships can be systematically extracted and analyzed to deduce adequate corrective measures based on previously discovered weaknesses. This kind of approach is being widely used in various projects to improve the quality of a software system. This paper builds on top of the orthogonal defect classification (ODC) scheme to provide a structured security-specific defect classification. We perform a detailed analysis on the classified data and obtain in-process feedback so that the next version of the software can be more secure and reliable. We experimented our customized methodology on Firefox and Chrome defect repositories using six consecutive versions and milestones, respectively. We found that in-process feedback can help development team to take corrective actions as early as possible. We also studied the correlations between software defect types and software development lifecycle to understand development improvement.