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Cited by 394

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

New directions on agile methods: a comparative analysis

Abrahamsson, P., Warsta, J., Siponen, M.T., Ronkainen, J.·2003·25th International Conference on Software Engineering, 2003. Proceedings.

Abstract

Agile software development methods have caught the attention of software engineers and researchers worldwide. Scientific research is yet scarce. This paper reports results from a study, which aims to organize, analyze and make sense out of the dispersed field of agile software development methods. The comparative analysis is performed using the method's life-cycle coverage, project management support, type of practical guidance, fitness-for-use and empirical evidence as the analytical lenses. The results show that agile software development methods, without rationalization, cover certain/different phases of the software development life-cycle and most of them do not offer adequate support for project management. Yet, many methods still attempt to strive for universal solutions (as opposed to situation appropriate) and the empirical evidence is still very limited. Based on the results, new directions are suggested In principal, it is suggested to place emphasis on methodological quality - not method quantity.

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Metadata

Authors
Abrahamsson, P., Warsta, J., Siponen, M. T., & Ronkainen, J.
Venue
25th International Conference on Software Engineering, 2003. Proceedings.
Publisher
IEEE
Published
2003
Pages
244-254
ISSN
0270-5257 (ISSN-L)
OpenAlex
W4236198799
Cited by
394
References
25
FWCI
10.60
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: New directions on agile methods: a comparative analysis. https://app.cochat.ai/papers/10.1109/icse.2003.1201204
The paper
Abrahamsson, P., Warsta, J., Siponen, M. T., & Ronkainen, J. (2003). New directions on agile methods: a comparative analysis. 25th International Conference on Software Engineering, 2003. Proceedings. https://doi.org/10.1109/icse.2003.1201204

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.