A Comprehensive Evaluation of Agile Maturity Self-Assessment Surveys
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Green Open Access
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Abstract
Agile methodologies are adapted by growing number of software organizations. Agile maturity (also called agility) assessment is a way to ascertain the degree of this adoption and determine a course of action to improve agile maturity. There are a number of agile maturity assessment surveys in order to assess team or organization agility and many of them require no guidance. However, the usability of these surveys are not widely studied. The purpose of this study is to determine available agile maturity self-assessment surveys and evaluate their strengths and weaknesses for agile maturity assessment. An extensive case study is conducted to measure the sufficiency of 22 available agile maturity self-assessment surveys according to the seven expected features: comprehensiveness, fitness for purpose, discriminativeness, objectivity, conciseness, generalizability, and suitability for multiple assessment. Our case study results show that they do not satisfy all of the expected features fully but are helpful in some degree based on the purpose of usage.
Description
18th International Conference on Software Process Improvement and Capability Determination, SPICE 2018; Tessaloniki; Greece; 9 October 2018 through 10 October 2018
Keywords
Agility assessment, Agility surveys, Self assessment, Agile methodologies, anzsrc-for: 4609 Information Systems, Agility surveys, Self assessment, 46 Information and Computing Sciences, 4609 Information Systems, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4612 Software Engineering, Agile methodologies, 4612 Software Engineering, 004, Agility assessment
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Yürüm, O. R., Demirörs, O., and Rabhi, F. (2018). A comprehensive evaluation of agile maturity self-assessment surveys. In I. Stamelos, R. V. O'Connor, T. Rout, and A. Dorling (Eds.), Software Process Improvement and Capability Determination. SPICE 2018. Communications in Computer and Information Science, (pp. 300-315). Cham: Springer. doi:10.1007/978-3-030-00623-5_21
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OpenCitations Citation Count
3
Volume
918
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Start Page
300
End Page
315
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