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Software Metrics: A Rigorous and Practical Approach
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The Second Edition of Software Metrics provides an up-to-date, coherent, and rigorous framework for controlling, managing, and predicting software development processes.Abstract:
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The Second Edition of Software Metrics provides an up-to-date, coherent, and rigorous framework for controlling, managing, and predicting software development processes. With an emphasis on real-world applications, Fenton and Pfleeger apply basic ideas in measurement theory to quantify software development resources, processes, and products. The book offers an accessible and comprehensive introduction to software metrics, now an essential component of software engineering for both classroom and industry. Software Metrics features extensive case studies from Hewlett Packard, IBM, the U.S. Department of Defense, Motorola, and others, in addition to worked examples and exercises. The Second Edition includes up-to-date material on process maturity and measurement, goal-question-metric, planning a metrics program, measurement in practice, experimentation, empirical studies, ISO9216, and metric tools.read more
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BookDOI
Evolving Software Systems
TL;DR: Each chapter presents the state of the art in a particular topic, as well as the current research, available tool support and remaining challenges, covering a broad spectrum of software evolution topics.
Resource-Predictable and Efficient Monitoring of Events
Abstract: We present a formally specified event specification language (Solicitor). Solicitor is suitable for real-time systems, since it results in resource-predictable and efficient event monitors. In event monitoring, event expressions defined in an event specification language control the monitoring by matching incoming streams of event occurrences against the event expressions. When an event expression has a complete set of matching event occurrences, the event type that this expression defines has occurred. Each event expression is specified by combining contributing event types with event operators such as sequence, conjunction, disjunction; contributing event types may be primitive, representing happenings of interest in a system, or composite, specified by event expressions. The formal specification of Solicitor is based on a formal schema that separates two important aspects of an event expression; these aspects are event operators and event contexts. The event operators aspect addresses the relative constraints between contributing event occurrences, whereas the event contexts aspect addresses the selection of event occurrences from an event stream with respect to event occurrences that are used or invalidated during event monitoring. The formal schema also contains an abstract model of event monitoring. Given this formal specification, we present realization issues of, a time complexity study of, as well as a proof of limited resource requirements of event monitoring. We propose an architecture for resource-predictable and efficient event monitoring. In particular, this architecture meets the requirements of realtime systems by defining how event monitoring and tasks are associated. A declarative way of specifying this association is proposed within our architecture. Moreover, an efficient memory management scheme for event composition is presented. This scheme meets the requirements of event monitoring in distributed systems. This architecture has been validated by implementing an executable component prototype that is part of the DeeDS prototype. The results of the time complexity study are validated by experiments. Our experiments corroborate the theory in terms of complexity classes of event composition in different event contexts. However, the experimental platform is not representative of operational real-time systems and, thus, the constants derived from our experiments cannot be used for such systems.
Journal ArticleDOI
A metrics suite for grammar-based software
James F. Power,Brian A. Malloy +1 more
TL;DR: The software metrics that are commonly used to measure program complexity are adapted and applied to the measurement of the complexity of grammar-based software applications, so that the measure of complexity that the authors' metrics provide can guide maintainers in locating problematic areas in grammar- based applications.
Journal ArticleDOI
Comparison of Web size measures for predicting Web design and authoring effort
TL;DR: A case study evaluation is described, in which size metrics characterising length, complexity and functionality are obtained and used to generate effort prediction models for Web authoring and design and results suggest that in general all categories present a similar prediction accuracy.
Journal ArticleDOI
Performance Analysis of Feature Selection Methods in Software Defect Prediction: A Search Method Approach
TL;DR: It is concluded that FS methods improve the performance of SDP models, and that there is no single best FS method, as their performance varied according to datasets and the choice of the prediction model.