Author List: Barki, Henri; Rivard, Suzanne; Talbot, Jean;
Journal of Management Information Systems, 1993, Volume 10, Issue 2, Page 203-225.
Despite the introduction and use of a wide variety of system development methods and tools, software projects are still plagued by time and cost overruns, and unmet user requirements. To avoid these problems, it is frequently recommended that the risk associated with a software project be managed. A task that is critical to the proper management of software development risk is the assessment of the risks facing the project. Based on previous research, this paper proposes a definition and a measure of software development risk. Subsequently, data collected in a survey of 120 projects is used to assess the reliability and validity of the instrument.
Keywords: information systems project management; risk management; Software development risk; software metrics
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List of Topics

#264 0.203 risk risks management associated managing financial appropriate losses expected future literature reduce loss approach alternative mitigate failures failure cause mitigation
#232 0.168 software development product functionality period upgrade sampling examines extent suggests factors considered useful uncertainty previous called complementarities greater cost present
#124 0.160 validity reliability measure constructs construct study research measures used scale development nomological scales instrument measurement researchers developed validation discriminant results
#135 0.151 project projects development management isd results process team developed managers teams software stakeholders successful complex develop contingencies problems greater planning
#86 0.116 methods information systems approach using method requirements used use developed effective develop determining research determine assessment useful series critical existing
#261 0.074 software development maintenance case productivity application tools systems function tool engineering projects effort code developed applications analysis estimation methodology methods