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Titlebook: Agile Processes in Software Engineering and Extreme Programming; 8th International Co Giulio Concas,Ernesto Damiani,Giancarlo Succi Confere

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https://doi.org/10.1007/978-3-030-86312-8 The method works by performing first a behavioural fingerprinting of each developer – based on low level event logs – which then is used to operate a segmentation over the log sequence produced by the pair: in a timelined log event sequence this is equivalent to estimating the times of the switchin
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Menschenpuffer (DD109, Februar 2010),permanently low defect rates. Code analysis tools are seen as a prominent way to facilitate the defect prediction. There are only few studies addressing the feasibility of predicting a defect rate with the help of static code analysis tools in the area of embedded software. This study addresses the
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https://doi.org/10.1007/978-94-017-1207-1n reflected on its results and context. The present reflection points to a need for a set of principles and practices that would support the fragile process of introducing agility. For a start, the authors propose the Empirical Evidence principle exemplified using DICE® and the practice of Joint Eng
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Agile Software Development Meets Corporate Deployment Procedures: Stretching the Agile Envelope and explains the bottlenecks that arose with application deployment when this agile approach was not initially extended throughout the wider solution delivery lifecycle. The paper details the simple process changes that were adopted to expand the agile philosophy beyond development.
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Using Horizontal Displays for Distributed and Collocated Agile Planningnt DAP, a tool developed to aid distributed and collocated teams in agile planning meetings. Designed with a multi-client architecture, it works on standard desktop computers and digital tables. Using digital tables, DAP emulates index card based planning without requiring team members to be in the same room.
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A Metamodel for Modeling and Measuring Scrum Development ProcessMany organizations using agile processes would like to adopt a process measurement framework, e.g. for assessing their process maturity. In this paper we propose a . supporting derivation of specific data models for agile development processes. Then, we show how our meta-model can be used to derive a model of the Scrum process.
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