Decision knowledge triggers in continuous software engineering

Decision knowledge encompasses decisions and related information such as the problems the decisions address, their rationale, or alternatives. The management of decision knowledge is considered important for software development, however, it is often not integrated, since it requires additional effo...

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Vydáno v:2018 IEEE ACM 4th International Workshop on Rapid Continuous Software Engineering (RCoSE) s. 23 - 26
Hlavní autoři: Kleebaum, Anja, Johanssen, Jan Ole, Paech, Barbara, Alkadhi, Rana, Bruegge, Bernd
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 29.05.2018
Edice:ACM Conferences
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ISBN:9781450357456, 1450357458
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Abstract Decision knowledge encompasses decisions and related information such as the problems the decisions address, their rationale, or alternatives. The management of decision knowledge is considered important for software development, however, it is often not integrated, since it requires additional effort and developers do not perceive short-term benefits. Continuous software engineering offers new possibilities to overcome these drawbacks: During continuous software engineering, developers perform practices suitable to integrate the management of decision knowledge in their daily work. For example, developers regularly commit code and manage tasks to implement features. In this paper, we present ideas on how to trigger the developers to capture and use decision knowledge during these practices, in particular to 1) package distributed decision knowledge, 2) make tacit decisions explicit, and 3) consider consistency between decisions.
AbstractList Decision knowledge encompasses decisions and related information such as the problems the decisions address, their rationale, or alternatives. The management of decision knowledge is considered important for software development, however, it is often not integrated, since it requires additional effort and developers do not perceive short-term benefits. Continuous software engineering offers new possibilities to overcome these drawbacks: During continuous software engineering, developers perform practices suitable to integrate the management of decision knowledge in their daily work. For example, developers regularly commit code and manage tasks to implement features. In this paper, we present ideas on how to trigger the developers to capture and use decision knowledge during these practices, in particular to 1) package distributed decision knowledge, 2) make tacit decisions explicit, and 3) consider consistency between decisions.
Author Bruegge, Bernd
Alkadhi, Rana
Johanssen, Jan Ole
Paech, Barbara
Kleebaum, Anja
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  organization: Technical University of Munich, Munich, Germany
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Keywords decision knowledge
trigger
knowledge management
continuous software engineering
rationale
software evolution
Language English
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SubjectTerms Conferences
Continuous Software Engineering
Data integrity
Decision Knowledge
Informatics
Knowledge engineering
Knowledge Management
Rationale
Software
Software and its engineering -- Software creation and management -- Software development process management -- Software development methods -- Agile software development
Software and its engineering -- Software creation and management -- Software post-development issues -- Documentation
Software and its engineering -- Software creation and management -- Software post-development issues -- Maintaining software
Software and its engineering -- Software creation and management -- Software post-development issues -- Software evolution
Software engineering
Software Evolution
Task analysis
Trigger
Title Decision knowledge triggers in continuous software engineering
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