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Software Metrics: A Rigorous and Practical Approach

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TLDR
The Second Edition of Software Metrics provides an up-to-date, coherent, and rigorous framework for controlling, managing, and predicting software development processes.
Abstract
From the Publisher: 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.

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Proceedings ArticleDOI

Bridging the gaps between software engineering and human-computer interaction

TL;DR: This workshop was motivated by a perception among researchers, practitioners, and educators that the fields of Human-Computer Interaction and Software Engineering were largely ignoring each other and that they needed to work together more closely and to understand each other better.
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The commenting practice of open source

TL;DR: This paper finds that successful open source projects follow a consistent practice of documenting their source code, and it is found that the comment density is independent of team and project size.
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A Unified Framework for Defect Data Analysis Using the MBR Technique

TL;DR: This work develops a framework that derives the optimal configuration of an MBR classifier for software defect data, by logical variation of its configuration parameters, and observes that this adaptive MBR technique provides a flexible and effective environment for accurate prediction of mission-criticalSoftware defect data.
Proceedings ArticleDOI

Measuring OO systems: a critical analysis of the MOOD metrics

TL;DR: It is shown that any empirical validation is premature, due to the majority of the MOOD metrics being fundamentally flawed, and the suggestions made are intended to have a wider applicability in the field of OO metrics.
Proceedings ArticleDOI

Analysis and Prediction of Mandelbugs in an Industrial Software System

TL;DR: Results show that Mandelbugs account for a noticeable share of faults, and that the proposed approach can predict Mandelbug-prone modules with greater accuracy than the sole adoption of traditional software metrics.