Utilizing Change Impact Analysis for Improving Effort Estimation in Agile Software Development
Seiten
2020
Fraunhofer Verlag
978-3-8396-1568-3 (ISBN)
Fraunhofer Verlag
978-3-8396-1568-3 (ISBN)
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In agile software development cost and effort estimation is challenging, as the requirements are evolved as development progress. Current practice relies heavily on human judgment that is based on limited information and is prone to human judgment bias. Objective information like potential impact of a change on existing software is absent in current methods. This contribution provides the information through a systematic effort estimation method.
Effort estimation is used for planning and managing all phases of software development. Traditional estimation methods rely on having a mostly "complete" and "fixed" specification of a system. In agile software development, cost and effort estimation is challenging, as the requirements cannot be specified entirely upfront and are evolved as development progress and users interact with the product. Current practice in this context relies heavily on human judgment which has several limitations. It is based on limited information (subjective opinion), hampered by wishful thinking and prone to human judgment bias (individual and group effects). Estimates produced by these methods are often inaccurate. Experts recognize the need and importance of more objective information that includes historical data from previous iterations. Moreover, current estimation methods do not objectively consider the potential impact of a change on existing software and custom factors that contribute to the effort overhead. Thus, considerable improvement potential exists concerning systematic effort estimation in this environment and marks the contribution of this research to the body of knowledge.
Effort estimation is used for planning and managing all phases of software development. Traditional estimation methods rely on having a mostly "complete" and "fixed" specification of a system. In agile software development, cost and effort estimation is challenging, as the requirements cannot be specified entirely upfront and are evolved as development progress and users interact with the product. Current practice in this context relies heavily on human judgment which has several limitations. It is based on limited information (subjective opinion), hampered by wishful thinking and prone to human judgment bias (individual and group effects). Estimates produced by these methods are often inaccurate. Experts recognize the need and importance of more objective information that includes historical data from previous iterations. Moreover, current estimation methods do not objectively consider the potential impact of a change on existing software and custom factors that contribute to the effort overhead. Thus, considerable improvement potential exists concerning systematic effort estimation in this environment and marks the contribution of this research to the body of knowledge.
| Erscheinungsdatum | 09.05.2020 |
|---|---|
| Reihe/Serie | PhD Theses in Experimental Software Engineering ; 66 |
| Zusatzinfo | num. illus. and tab. |
| Verlagsort | Stuttgart |
| Sprache | englisch |
| Maße | 170 x 240 mm |
| Themenwelt | Informatik ► Software Entwicklung ► Agile Software Entwicklung |
| Schlagworte | agile development • B • budgeting & financial management • Change Impact • collaboration & group software • effort estimation • Fraunhofer IESE • Hybrid estimation • Informatiker • Informatiker, Softwarearchitekten, Softwareentwick • Informatiker, Softwarearchitekten, Softwareentwickler, Softwaretester, Projektmanager • Management Decision Making • Project Management • Project management software • Projektmanager • Softwarearchitekt • Software engineering • Softwareentwickler • Softwaretester |
| ISBN-10 | 3-8396-1568-2 / 3839615682 |
| ISBN-13 | 978-3-8396-1568-3 / 9783839615683 |
| Zustand | Neuware |
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