Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Thinking strategically about knowledge management in agile software development
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Chalmers, SWE.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2018 (English)In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag , 2018, Vol. Code 221089, p. 389-395Conference paper, Published paper (Refereed)
Abstract [en]

Agile methodologies gave teams more autonomy regarding planning tasks and executing them. As a result, coordination gets more flexible, but much relevant knowledge remains undocumented and inside teams’ borders, due to informal communication and reduced development documentation. Since knowledge plays an essential role in software development, it is important to have effective knowledge management (KM) practices that contribute to a better knowledge resource allocation. Several KM practices have been reported in empirical studies in Agile Software Development (ASD). However, these practices are not evaluated regarding its effectiveness or how do they affect product quality. Besides, the studies do not demonstrate connections between the KM practices in the project level and the strategic level. The lack of connection between these levels can result in deviations from the company’s corporate strategy, wasted resources and irrelevant knowledge acquisition. This paper discusses how the strategic management can contribute to an integrated approach to KM in ASD; considering the organizational structure and the corporate strategy. Based on this discussion, we propose research areas that may help with planning KM strategies that can have their effectiveness measured and contribute to product quality. © Springer Nature Switzerland AG 2018.

Place, publisher, year, edition, pages
Springer Verlag , 2018. Vol. Code 221089, p. 389-395
Series
Lecture Notes in Computer Science, ISSN 0302-9743
Keywords [en]
Agile Software Development, Knowledge Management, Product quality, Human resource management, Mergers and acquisitions, Process engineering, Quality control, Agile Methodologies, Corporate strategies, Empirical studies, Informal communication, Integrated approach, Organizational structures, Strategic management, Software design
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-17420DOI: 10.1007/978-3-030-03673-7_30Scopus ID: 2-s2.0-85057217498ISBN: 9783030036720 (print)OAI: oai:DiVA.org:bth-17420DiVA, id: diva2:1270414
Conference
19th International Conference on Product-Focused Software Process Improvement, PROFES 2018; Wolfsburg; Germany; 28 November 2018 through 30 November 2018
Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2019-08-01Bibliographically approved
In thesis
1. Understanding and Supporting Knowledge Management in Agile Software Development
Open this publication in new window or tab >>Understanding and Supporting Knowledge Management in Agile Software Development
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

 Background. Agile Software Development (ASD) promises agility and flexibility in dealing with uncertainty by prioritizing interaction between people supported by informal communication and knowledge sharing. The lack of practices to manage the knowledge as a resource might jeopardize the application of knowledge in the production of goods and service. The utilization of Knowledge Management (KM) strategies can significantly support achieving and sustaining competitive advantage and brings several benefits to software development. However, how to manage knowledge in ASD is still not well understood or investigated.

 Objectives. The main objective of this thesis is to contribute to the software engineering field by providing a different perspective on directions that KM can take to improve knowledge-based resource (KBR) management in ASD. The detailed objectives are: (i) Understand the current ASD environment regarding KM; (ii) Identify KBRs in ASD and its implications for KM; and (iii) Provide an initial set of variables to evaluate knowledge criticality of knowledge items in ASD.

 Method. We used a mixed-methods approach to address the objective of this thesis. The methods selected to conduct the studies include systematic literature review, grounded theory, and improvement case study. The data collection comprised a literature review, semi-structured interviews, and practitioners’ feedback through static validation.

 Results. From our SLR we observed that that KM strategies in ASD promote mainly knowledge transfer through practices that stimulate social interaction to share tacit knowledge in the project layer, increasing the risk of losing knowledge by keeping the knowledge localized inside a few individual’s minds. When it comes to coordination, practitioners utilize KBRs in their routines, through social collaboration within teams’ environment/settings. However, this process is nonsystematic, which brings inefficiency to KBR utilization resulting in knowledge loss. It can generate negative implications to the course of the software development, including meaningless searches in databases, frustration because of recurrent problems, and unawareness of knowledge sources. To support decision making related to knowledge retention, we have developed an initial version of the method to evaluate the criticality (KCEM) of a knowledge item, which is divided into two categories, relevance, and scarcity.

 Conclusion. The current results of this thesis are of particular interest. However, we recognize that the work is unfinished. As a complement to this thesis, we have planned our long-term objective, which is to contribute to creating scalable KM solutions for companies adopting ASD.We divide this long-term objective into three studies: Carry out a complementary study to apply KCEM in different companies; explore efficient ways of storing codified knowledge in combination with the KCEM, and investigate how to define metrics to evaluate the outcomes of KM practices.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019. p. 144
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 10
Keywords
Knowledge Management, Agile Software Development, Knowledge resource
National Category
Computer Systems
Identifiers
urn:nbn:se:bth-18509 (URN)978-91-7295-380-2 (ISBN)
Presentation
2019-09-11, Karlskrona, 09:00 (English)
Opponent
Supervisors
Projects
S.E.R.T.E.R.T. Research Profile
Available from: 2019-08-02 Created: 2019-08-01 Last updated: 2019-09-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Ouriques, RaquelWnuk, KrzysztofGorschek, Tony

Search in DiVA

By author/editor
Ouriques, RaquelWnuk, KrzysztofGorschek, Tony
By organisation
Department of Software Engineering
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 128 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf