Object-Oriented Metrics in Practice

Beschreibung

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.
Comprehensive list of object-oriented disharmony patterns Many reengineering strategies for poorly structured code Brief introduction to code visualization using CodeCrawler Includes supplementary material: sn.pub/extras

The industry is nowadays confronted with large-scale monolithic and inflexible object-oriented software. Because of their high business value, these legacy systems must be reengineered. One of the important issues in reengineering is the detection and location of design flaws, which prevent an efficient maintenance and further development of the system. This work presents a novel metrics-based approach for detecting such design problems. The approach is based on the Detection Strategy concept, which is a higher-level mechanism for interpreting measurement results, defined by the author. After defining and explaining the mechanism itself, the work introduces an important suite of detection strategies for the identification of different well-known design flaws found in the literature, but also for problems rarely mentioned. The last part of the work introduces a new type of quality model, called Factor-Strategy.

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Michele Lanza

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CodeCrawler Design Metrics Object-Oriented Software Development Software Metrics Software Visualization class classification complexity design development object semantics software software architecture software engineering

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"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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