Critical success factors in software process improvement: A systematic review

Sussy Bayona, Jose A. Calvo-Manzano, Tomás San Feliu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

Many methods, models and standards for software process improvement have been developed. However, despite the efforts, they still come up against difficulties in their deployment and the processes are not institutionalized. There is a set of factors that influence the successful deployment of new or modified processes. In this paper we describe the methodology and results from a systematic review of critical success factors in software process improvement and deployment. A total of 28 primary studies were analyzed as a result of the systematic review. Some of the top factors for process improvement and process deployment initiatives are: commitment, alignment with the business strategy and goals, training, communication, resources, skills, improvement management and staff involvement. The obtained results show that is important to take into account organizational, technical and people issues in order to achieve success in improvement initiatives. © 2012 Springer-Verlag.
Original languageAmerican English
Title of host publicationCritical success factors in software process improvement: A systematic review
Pages1-12
Number of pages12
ISBN (Electronic)9783642304385
DOIs
StatePublished - 18 Jun 2012
Externally publishedYes
EventCommunications in Computer and Information Science -
Duration: 1 Jan 2019 → …

Publication series

NameCommunications in Computer and Information Science
Volume290 CCIS
ISSN (Print)1865-0929

Conference

ConferenceCommunications in Computer and Information Science
Period1/01/19 → …

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  • Cite this

    Bayona, S., Calvo-Manzano, J. A., & San Feliu, T. (2012). Critical success factors in software process improvement: A systematic review. In Critical success factors in software process improvement: A systematic review (pp. 1-12). (Communications in Computer and Information Science; Vol. 290 CCIS). https://doi.org/10.1007/978-3-642-30439-2_1