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QuoteRef: gravTL5_2001
Topic:
experimental results on programming
Topic:
programmer productivity
Topic:
metaphysics and epistemology
Group:
debugging
Reference
Graves, T.L., Mockus, A., "Identifying productivity drivers by modeling work units using partial data", Technometrics, 42, 2, May 2001, pp. 168-179. Google
abstract ;;Quote: test the effectiveness of software engineering tools and practices by modeling an unobserved, independent variable from a sparse nonnegative two-way table
172 ;;Quote: software tools and processes often have 10x less influence than project size, developer capability and experience
172+;;Quote: normalize for developer differences by comparing developers with similar number of changes, whether or not they use a software tool or process; e.g., select from thousands of modification request records
173 ;;Quote: statistically significant evidence for code decay; a change requires 20% more effort than a similar change a year before
174 ;;Quote: bug fixes are 26% more difficult than new functionality of similar size
Topic: experimental results on programming (75 items)
Topic: programmer productivity (57 items)
Topic: metaphysics and epistemology (99 items)
Group: debugging (10 topics, 333 quotes)