On the Portability of Quantitative Software Estimation Models
Name
MIT_CISR_WP_174_On_the_Portability_of_Quantitative_Software_Estimation_Models_Abdel-Hamid_Madnick.pdf
Size
567.44 KB
Format
Adobe PDF
Checksum (MD5)
020ec0763fc65242447d1ce0305ebb02
Author(s)
Abdel-Hamid, Tarek
Madnick, Stuart
Date Issued
January 1, 1988
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Abdel-Hamid, Tarek and Stuart Madnick. “On the Portability of Quantitative Software Estimation Models.” Working paper 174, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 1988. https://dspace.mit.edu/handle/1721.1/175340.
Series/Report no.
MIT Sloan School of Management Working Paper 1977-88
CISR Working Paper 174
Abstract
Evidence in the literature indicates that the portability of currently available quantitative software estimation models is poor. A primary reason is that most models fail to account for managerial characteristics of the software development environment; a set of factors that tend to vary significantly from one organization to another. A major stumbling block has been the inability to quantify the impact of managerial-type factors on cost. In this study, we take a first step towards rectifying this situation. An extensive simulation model of the software development process is developed and used to identify managerial factors that impact the cost of software development, and to quantify the degree of that impact. Because the areas identified are variables that the project manager can objectively evaluate at the beginning of a software project, it should be feasible to incorporate them in future cost estimation models. This, we feel, would improve both their accuracy and portability.
Subjects
Software Estimation
Software Projects
Software Project Management
System Dynamics
Simulation
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