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The application of knowledge management to software evolution

Author

Listed:
  • José Vasconcelos
  • Chris Kimble

    (Euromed Marseille - École de management - Association Euromed Management - Marseille, MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

  • Paulo Carreteiro
  • Álvaro Rocha

Abstract

In complex software development projects, consistent planning and communication between the stakeholders is crucial for effective collaboration across the different stages in software construction. Taking the view of software development and maintenance as being part of the broader phenomenon of software evolution, this paper argues that the adoption of knowledge management practices in software engineering would improve both software construction and more particularly software maintenance. The research work presents a guidance model for both areas: knowledge management and software engineering, combining insights across corporate software projects as a means of evaluating the effects on people and organization, technology, workflows and processes.

Suggested Citation

  • José Vasconcelos & Chris Kimble & Paulo Carreteiro & Álvaro Rocha, 2016. "The application of knowledge management to software evolution," Post-Print halshs-01328015, HAL.
    • Handle: RePEc:hal:journl:halshs-01328015
    DOI: 10.1016/j.ijinfomgt.2016.05.005
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    Cited by:

    1. Oyemomi, Oluwafemi & Liu, Shaofeng & Neaga, Irina & Chen, Huilan & Nakpodia, Franklin, 2019. "How cultural impact on knowledge sharing contributes to organizational performance: Using the fsQCA approach," Journal of Business Research, Elsevier, vol. 94(C), pages 313-319.
    2. Culasso, Francesca & Gavurova, Beata & Crocco, Edoardo & Giacosa, Elisa, 2023. "Empirical identification of the chief digital officer role: A latent Dirichlet allocation approach," Journal of Business Research, Elsevier, vol. 154(C).
    3. Olan, Femi & Ogiemwonyi Arakpogun, Emmanuel & Suklan, Jana & Nakpodia, Franklin & Damij, Nadja & Jayawickrama, Uchitha, 2022. "Artificial intelligence and knowledge sharing: Contributing factors to organizational performance," Journal of Business Research, Elsevier, vol. 145(C), pages 605-615.
    4. Rashid, Mehvish & Clarke, Paul M. & O’Connor, Rory V., 2019. "A systematic examination of knowledge loss in open source software projects," International Journal of Information Management, Elsevier, vol. 46(C), pages 104-123.

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