Scaling Agile in Large Organizations: Practices, Challenges, and Success Factors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00102740" target="_blank" >RIV/00216224:14330/18:00102740 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/smr.1954" target="_blank" >http://dx.doi.org/10.1002/smr.1954</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/smr.1954" target="_blank" >10.1002/smr.1954</a>
Alternative languages
Result language
angličtina
Original language name
Scaling Agile in Large Organizations: Practices, Challenges, and Success Factors
Original language description
Context: Agile software development has nowadays reached wide adoption. However, moving agile to large-scale contexts is a complex task with many challenges involved. Objective: In this paper, we review practices, challenges, and success factors for scaling agile both from literature and within a large software company, identifying the most critical factors. Method: We conduct a focused literature review to map the importance of scaling practices, challenges, and success factors. The outcome of this focused literature review is used to guide action research within a software company with a view to scaling agile processes. Results: Company culture, prior agile and lean experience, management support, and value unification were found to be key success factors during the action research process. Resistance to change, an overly aggressive roll-out time frame, quality assurance concerns, and integration into preexisting nonagile business processes were found to be the critical challenges in the scaling process. Conclusion: The action research process allowed to cross-fertilize ideas from literature to the company's context. Scaling agile within an organization does not need to follow a specific scheme, rather the process can be tailored to the needs while keeping the core values and principles of agile methodologies.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Software: Evolution and Process
ISSN
2047-7473
e-ISSN
2047-7481
Volume of the periodical
30
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
24
Pages from-to
1-24
UT code for WoS article
000447650700003
EID of the result in the Scopus database
2-s2.0-85047486348