Correlation of Critical Success Factors With Success of Software Projects: an Empirical Investigation
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Verlag
Open Access Color
HYBRID
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Software engineering researchers have, over the years, proposed different critical success factors (CSFs) which are believed to be critically correlated with the success of software projects. To conduct an empirical investigation into the correlation of CSFs with success of software projects, we adapt and extend in this work an existing contingency fit model of CSFs. To archive the above objective, we designed an online survey and gathered CSF-related data for 101 software projects in the Turkish software industry. Among our findings is that the top three CSFs having the most significant associations with project success were: (1) team experience with the software development methodologies, (2) team's expertise with the task, and (3) project monitoring and controlling. A comprehensive correlation analysis between the CSFs and project success indicates positive associations between the majority of the factors and variables, however, in most of the cases at non-significant levels. By adding to the body of evidence in this field, the results of the study will be useful for a wide audience. Software managers can use the results to prioritize the improvement opportunities in their organizations w.r.t. the discussed CSFs. Software engineers might use the results to improve their skills in different dimensions, and researchers might use the results to prioritize and conduct follow-up in-depth studies on those factors.
Description
Keywords
Software engineering, Project management, Software projects, Success and failure, Critical success factors, Empirical studies, Critical success factors, Success and failure, Software engineering, Empirical studies, Project management, Software projects
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q3
Scopus Q
Q2

OpenCitations Citation Count
28
Source
Software Quality Journal
Volume
27
Issue
1
Start Page
429
End Page
493
PlumX Metrics
Citations
CrossRef : 22
Scopus : 40
Captures
Mendeley Readers : 200
SCOPUS™ Citations
40
checked on Apr 27, 2026
Web of Science™ Citations
22
checked on Apr 27, 2026
Page Views
1446
checked on Apr 27, 2026
Downloads
280
checked on Apr 27, 2026
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