Reliability of function points measurement: a field experiment
Communications of the ACM
Extreme programming explained: embrace change
Extreme programming explained: embrace change
Building Knowledge through Families of Experiments
IEEE Transactions on Software Engineering
Software assessments, benchmarks, and best practices
Software assessments, benchmarks, and best practices
Software Metrics: Measurement for Software Process Improvement
Software Metrics: Measurement for Software Process Improvement
Planning Extreme Programming
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
Extreme Programming: Rapid Development for Web-Based Applications
IEEE Internet Computing
Software-Engineering Research Revisited
IEEE Software
Case Studies for Method and Tool Evaluation
IEEE Software
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
Turning the Knobs: A Coaching Pattern for XP through Agile Metrics
Proceedings of the Second XP Universe and First Agile Universe Conference on Extreme Programming and Agile Methods - XP/Agile Universe 2002
How to Get the Most out of Extreme Programming/Agile Methods
Proceedings of the Second XP Universe and First Agile Universe Conference on Extreme Programming and Agile Methods - XP/Agile Universe 2002
Balancing Agility and Discipline: A Guide for the Perplexed
Balancing Agility and Discipline: A Guide for the Perplexed
Extreme Programming: First Results from a Controlled Case Study
EUROMICRO '03 Proceedings of the 29th Conference on EUROMICRO
Exploring Extreme Programming in Context: An Industrial Case Study
ADC '04 Proceedings of the Agile Development Conference
The impact of agile practices on communication in software development
Empirical Software Engineering
Measuring fidelity to extreme programming: a psychometric approach
Empirical Software Engineering
Conceptual scheduling model and optimized release scheduling for agile environments
Information and Software Technology
Optimized feature distribution in distributed agile environments
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
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With the recent emergence of agile software development technologies, the software community is awaiting sound, empirical investigation of the impacts of agile practices in a live setting. One means of conducting such research is through industrial case studies. There are a number of influencing factors that contribute to the success of such a case study. In this paper, we describe a case study performed at Sabre Airline SolutionsTM evaluating the effects of adopting Extreme Programming (XP) practices with a team that had characteristically plan-driven risk factors. We compare the team's business-related results (productivity and quality) to two published sources of industry averages. Our case study found that the Sabre team yielded above-average post-release quality and average to above-average productivity. We discuss our experience in conducting this case study, including specifics of how data was collected, the rationale behind our process of data collection, and what obstacles were encountered during the case study. We identify four factors that potentially impact the outcome of industrial case studies: availability of data, tool support, cooperative personnel and project status. Recognizing and planning for these factors is essential to conducting industrial case studies.