Methodology for Validating Software Metrics
IEEE Transactions on Software Engineering
Science and Substance: A Challenge to Software Engineers
IEEE Software
The unified software development process
The unified software development process
Introduction to the team software process
Introduction to the team software process
Extreme programming explained: embrace change
Extreme programming explained: embrace change
Building Knowledge through Families of Experiments
IEEE Transactions on Software Engineering
Towards an Ontology of software maintenance
Journal of Software Maintenance: Research and Practice
Software assessments, benchmarks, and best practices
Software assessments, benchmarks, and best practices
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
Empirical Software Engineering
Software-Engineering Research Revisited
IEEE Software
Case Studies for Method and Tool Evaluation
IEEE Software
Towards a Framework for Software Measurement Validation
IEEE Transactions on Software Engineering
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
Conducting Realistic Experiments in Software Engineering
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
Balancing Agility and Discipline: A Guide for the Perplexed
Balancing Agility and Discipline: A Guide for the Perplexed
An Initial Framework for Research on Pair Programming
ISESE '03 Proceedings of the 2003 International Symposium on Empirical Software Engineering
Evidence-Based Software Engineering
Proceedings of the 26th International Conference on Software Engineering
From the Editor: Propaganda and Software Development
IEEE Software
Exploring Extreme Programming in Context: An Industrial Case Study
ADC '04 Proceedings of the Agile Development Conference
Evidence-Based Software Engineering for Practitioners
IEEE Software
Extreme Programming Explained: Embrace Change (2nd Edition)
Extreme Programming Explained: Embrace Change (2nd Edition)
Motivations and measurements in an agile case study
Proceedings of the 2004 workshop on Quantitative techniques for software agile process
Realising evidence-based software engineering a report from the workshop held at ICSE 2005
ACM SIGSOFT Software Engineering Notes
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A goal of evidence-based software engineering is to provide a means by which industry practitioners can make rational decisions about technology adoption. When a technology is mature enough for potential widespread use, practitioners find empirical evidence most compelling when the study has taken place in a live, industrial situation in an environment comparable to their own. However, empirical software engineering is in need of guidelines and standards to direct industrial case studies so that the results of this research are valuable and can be combined into an evidentiary base. In this paper, we present a high-level view of a measurement framework that has been used with multiple agile software development industrial case studies. We propose that this technology-dependent framework can be used as a strawman for a guideline of data collection, analysis, and reporting of industrial case studies. Our goal in offering the framework as a strawman is to solicit input from the community on a guideline for the essential components of a technology-dependent framework for industrial case study research.