Titlebook: Agile Methods. Large-Scale Development, Refactoring, Testing, and Estimation; XP 2014 Internationa Torgeir Dings?yr,Nils Brede Moe,Kai Pete

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Dandison Ukpabi,Grace Dandison Ukpabidom graphs. Thus, this paper demonstrates that our real world time-series dataset does not resemble a random graph except for small sections where there were large maintenance activities. Furthermore, the random graph metric can be used as a tool to indicate areas of interest in the dataset, without the need to run the modularisation.

Grandstand

Janakiraman Moorthy,Atul Parvatiyarour original analysis based on repositories metadata, which are based on the concepts of Repository Metrics and Code Repository Smells. In this paper, we describe one smell and two metrics we have defined for source code repositories analysis.

豐富

Architecture in Large Scale Agile Developmente. Moreover, the role and support for the architecture depends not only on the degree of the size but as well on the degree of complexity. In this paper I report on the experience using different models for supporting emergent architecture in large environments that take the degree of complexity into account.

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maintenance

Control in Software Project Portfolios: A Complex Adaptive Systems Approachtfolios. It proposes an interpretivist approach using exploratory case studies to investigate portfolio control in its natural context. This study will contribute to the advancement of control theory and provide new insights for theory and practice by integrating the study of PPM and control in an agile environment.

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CREST

1865-1348 onal Conference on Agile Software Development, XP 2014, in May 2014..The workshops comprised Principles of Large-Scale Agile Development, Refactoring & Testing (RefTest 2014), and Estimations in the 21st Century Software Engineering (EstSE21 2014). The 13 revised full papers presented were carefully