DocumentCode :
600269
Title :
Analyzing inspection data for heuristic effectiveness
Author :
Shull, Forrest ; Seaman, Carolyn ; Diep, Madeline
Author_Institution :
Fraunhofer CESE, College Park, MA, USA
fYear :
2012
fDate :
20-21 Sept. 2012
Firstpage :
149
Lastpage :
152
Abstract :
A significant body of knowledge concerning software inspection practice indicates that the value of inspections varies widely both within and across organizations. Inspection effectiveness and efficiency may be affected by a variety of factors such as inspection planning, the type of software, the developing organization, and many others. In the early 1990´s a governmental organization developing complex and highly critical software systems formulated heuristics for inspection planning based on best practices and their early inspection data. Since the development context at the organization has changed in some ways since the heuristics were proposed, it is important to assess whether the heuristics are still a suitable guideline to use. To investigate this question, we statistically evaluated the differences in effectiveness and efficiency between inspections that adhered to the heuristics and ones that did not. Our analysis revealed no significant difference in effectiveness or efficiency for most heuristics. We also learned that compliance with the heuristics is diminishing over time.
Keywords :
inspection; program testing; statistical analysis; complex software systems; governmental organization; heuristic effectiveness; highly critical software systems; inspection data analysis; inspection effectiveness; inspection efficiency; inspection planning; software developing organization; software inspection practice; Context; Inspection; Measurement; Organizations; Planning; Software; Software engineering; Inspection; planning; process improvement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Empirical Software Engineering and Measurement (ESEM), 2012 ACM-IEEE International Symposium on
Conference_Location :
Lund
ISSN :
1938-6451
Print_ISBN :
978-1-4503-1056-7
Electronic_ISBN :
1938-6451
Type :
conf
DOI :
10.1145/2372251.2372277
Filename :
6475409
Link To Document :
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