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Object-Oriented Metrics in Practice: Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems - Hardcover
Synopsis
Metrics are paramount in every engineering discipline. Software engineering, however, is not considered a classical engineering activity for several reasons. In general, if a software system is seen to deliver the required functionality, only few people if any care about the internals. Moreover, defining, understanding and applying software metrics often looks like an overly complex activity, recommended only to 'trained professionals'.
Lanza and Marinescu demystify the design metrics used to assess the size, quality and complexity of object-oriented software systems. Based on statistical information from many industrial projects and generally accepted semantics they deduce many single and combined threshold values. They show in detail how to identify collaboration and classification disharmony patterns in code, how to visualize their results using the freely available CodeCrawler visualization tool, and how to devise possible remedies.
The combination of theoretically sound results and practically tested procedures and solution paths makes this book an ideal companion for professional software architects, developers and quality engineers. The pattern-oriented description of disharmonies offers easy access to detecting shortcomings and applying solution strategies.
"This well-written book is an important piece of work that takes the seemingly forgotten art of object-oriented metrics to the next level in terms of relevance and usefulness." Richard C. Gronback, Chief Scientist, Borland Software Corporation.
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About the Author
Michele Lanza is an Assistant Professor at the University of Lugano, Switzerland. His main research interests lie in software (re)engineering and software evolution with a special focus on software visualization and metrics. He was the creator of CodeCrawler, a freely available language-independent software visualization tool. His Ph.D. work won the Ernst Denert Software Engineering Award in 2003. Michele is a member of the ACM and IEEE.
Radu Marinescu is an Assistant Professor at the University of Timisoara, Romania. Radu’s research focuses on object-oriented reengineering and quality assurance. Several of his published research ideas have been applied in the well-known "Borland Together Control Center" CASE Tool. He also acted as a reviewer in several phases of the IEEE's SWEBOK (Software Engineering Body of Knowledge) project.
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Condition: Fine. Metrics are crucial in engineering, yet software engineering is often viewed differently due to its unique characteristics. Typically, if a software system meets functional requirements, few focus on its internal workings. Additionally, understanding and applying software metrics can seem overly complex, often reserved for specialists. Lanza and Marinescu simplify the design metrics for evaluating the size, quality, and complexity of object-oriented software systems. Utilizing statistical data from various industrial projects and established semantics, they derive numerous single and combined threshold values. The authors detail how to identify collaboration and classification disharmony patterns in code, visualize results with the CodeCrawler tool, and propose potential solutions. This blend of theoretical insights and practical methodologies makes the book an essential resource for software architects, developers, and quality engineers. Its pattern-oriented approach to identifying disharmonies facilitates the detection of issues and the implementation of strategies. Richard C. Gronback, Chief Scientist at Borland Software Corporation, praises it as a significant contribution that revitalizes the relevance and applicability of object-oriented metrics. Seller Inventory # 61014236-5ef2-449e-8c23-57459a16f9e8
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Object-Oriented Metrics in Practice: Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems
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Object-Oriented Metrics in Practice : Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems
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