NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Evaluating Heuristics for Planning Effective and Efficient InspectionsA 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 can be measured in numerous ways, and 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, NASA formulated heuristics for inspection planning based on best practices and early NASA inspection data. Over the intervening years, the body of data from NASA inspections has grown. This paper describes a multi-faceted exploratory analysis performed on this · data to elicit lessons learned in general about conducting inspections and to recommend improvements to the existing heuristics. The contributions of our results include support for modifying some of the original inspection heuristics (e.g. Increasing the recommended page rate), evidence that Inspection planners must choose between efficiency and effectiveness, as a good tradeoff between them may not exist, and Identification of small subsets of inspections for which new inspection heuristics are needed. Most Importantly, this work illustrates the value of collecting rich data on software Inspections, and using it to gain insight into, and Improve, inspection practice.
Document ID
20180000092
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Shull, Forrest J.
(Fraunhofer USA, Inc. College Park, MD, United States)
Seaman, Carolyn B.
(Fraunhofer USA, Inc. College Park, MD, United States)
Diep, Madeline M.
(Fraunhofer USA, Inc. College Park, MD, United States)
Feldmann, Raimund L.
(Fraunhofer USA, Inc. College Park, MD, United States)
Godfrey, Sara H.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Regardie, Myrna
(Fraunhofer USA, Inc. College Park, MD, United States)
Date Acquired
January 5, 2018
Publication Date
January 1, 2010
Subject Category
Administration And Management
Computer Programming And Software
Report/Patent Number
LEGNEW-OLDGSFC-GSFC-LN-1131
Funding Number(s)
CONTRACT_GRANT: NNG05GE77G
Distribution Limits
Public
Copyright
Public Use Permitted.
No Preview Available