Object Oriented Metrics
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Object-Oriented Metrics in Practice
Author: Michele Lanza
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-05-16
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.
Object-oriented Metrics
Object-oriented (OO) metrics are an integral part of object technology -- at the research level and in commercial software development projects. This book offers theoretical and empirical tips and facts for creating an OO complexity metrics (measurement) program, based on a review of existing research from the last several years. KEY TOPICS: Covers moving through object-oriented concepts as they related to managing the project lifecycle; the framework in which metrics exist; structural complexity metrics for traditional systems; OO product metrics; and current industrial applications. MARKET: For software developers, programmers, and managers.
Object-oriented Metrics:
Product metrics are objective measures of the structure of software artefacts. Specifically, product metrics can be used in at least three ways: making system-level predictions, early identification of high-risk software components, and the construction of preventative design & programming guidelines. These uses allow an organization to get an early estimate of software quality and to take early action to reduce the number of faulty software components. The objective of this report is to provide a review of contemporary object-oriented metrics. It first describes how object-oriented metrics can be used in practice by software organizations and presents an overview of some of the most popular object-oriented metrics & those that have been studied most extensively. The next section describes current cognitive theories used in software engineering that justify the development of object-oriented metrics. This is followed by a further elaboration of the cognitive theory to explain the cognitive mechanisms for metric thresholds. The empirical evidence supporting the above theories is then reviewed. The report concludes with recommendations for the practical usage of object-oriented metrics, a discussion of the match between the empirical results & theory, and directions for future research.
