Determining the Distribution of Maintenance Categories: Survey versus Measurement

Stephen R. Schach*, Bo Jin, Liguo Yu, Gillian Z. Heller, Jeff Offutt

*Corresponding author for this work

    Research output: Contribution to journalReview articlepeer-review

    58 Citations (Scopus)


    In 1978, Lientz, Swanson, and Tompkins published the results of a survey on software maintenance. They found that 17.4% of maintenance effort was categorized as corrective in nature, 18.2% as adaptive, 60.3% as perfective, and 4.1% was categorized as other. We refer to this as the "LSI" result. We contrast this survey-based result with our empirical results from the analysis of data for the repeated maintenance of three software products: a commercial real-time product, the Linux kernel, and GCC. For all three products and at both levels of granularity we considered, our observed distributions of maintenance categories were statistically very highly significantly different from LST. In particular, corrective maintenance was always more than twice the LST value. For the summed data, the percentage of corrective maintenance was more than three times the LST value. We suggest various explanations for the observed differences, including inaccuracies on the part of the maintenance managers who responded to the LST survey.

    Original languageEnglish
    Pages (from-to)351-365
    Number of pages15
    JournalEmpirical Software Engineering
    Issue number4
    Publication statusPublished - Dec 2003


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