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Understanding and Predicting the Process of Software Maintenance ReleasesOne of the major concerns of any maintenance organization is to understand and estimate the cost of maintenance releases of software systems. Planning the next release so as to maximize the increase in functionality and the improvement in quality are vital to successful maintenance management. The objective of this paper is to present the results of a case study in which an incremental approach was used to better understand the effort distribution of releases and build a predictive effort model for software maintenance releases. This study was conducted in the Flight Dynamics Division (FDD) of NASA Goddard Space Flight Center(GSFC). This paper presents three main results: 1) a predictive effort model developed for the FDD's software maintenance release process; 2) measurement-based lessons learned about the maintenance process in the FDD; and 3) a set of lessons learned about the establishment of a measurement-based software maintenance improvement program. In addition, this study provides insights and guidelines for obtaining similar results in other maintenance organizations.
Document ID
19990018552
Document Type
Reprint (Version printed in journal)
Authors
Basili, Victor (Maryland Univ. College Park, MD United States)
Briand, Lionel (CRIM Montreal, Quebec Canada)
Condon, Steven (Computer Sciences Corp. Lanham, MD United States)
Kim, Yong-Mi (Maryland Univ. College Park, MD United States)
Melo, Walcelio L. (Maryland Univ. College Park, MD United States)
Valett, Jon D. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
August 19, 2013
Publication Date
October 1, 1996
Publication Information
Publication: Software Engineering Laboratory Series: Collected Software Engineering Papers
Volume: 14
Subject Category
Computer Programming and Software
Meeting Information
Software Engineering(Berlin)
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19990018549Analytic PrimarySoftware Engineering Laboratory Series: Collected Software Engineering Papers
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