Correlation of Critical Success Factors With Success of Software Projects: an Empirical Investigation

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Date

2019

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Verlag

Open Access Color

HYBRID

Green Open Access

Yes

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%

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relationships.isJournalIssueOf

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
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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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6.25089533

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