Characterizing and Assessing a Large-Scale Software Maintenance Organization

dc.contributor.authorBriand, Lionelen_US
dc.contributor.authorMelo, Walcelio L.en_US
dc.contributor.authorSeaman, Carolyn B.en_US
dc.contributor.authorBasili, Victor R.en_US
dc.date.accessioned2004-05-31T22:28:07Z
dc.date.available2004-05-31T22:28:07Z
dc.date.created1994-11en_US
dc.date.issued1998-10-15en_US
dc.description.abstractOne important component of a software process is the organizational context in which the process is enacted. This component is often missing or incomplete in current process modeling approaches. One technique for modeling this perspective is the Actor-Dependency (AD) Model. This paper reports on a case study which used this approach to analyze and assess a large software maintenance organization. Our goal was to identify the approach's strengths and weaknesses while providing practical recommendations for improvement. The AD model was found to be very useful in capturing the important properties of the organizational context of the maintenance process, and aided in the understanding of the flaws found in this process. However, a number of opportunities for extending and improving the AD model were identified. Among others, there is a need to incorporate quantitative information to complement the qualitative model. (Also cross-referenced as UMIACS-TR-94-112)en_US
dc.format.extent1492397 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/665
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3354en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-94-112en_US
dc.titleCharacterizing and Assessing a Large-Scale Software Maintenance Organizationen_US
dc.typeTechnical Reporten_US

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