Investigating and improving a COTS-based software development
Proceedings of the 22nd international conference on Software engineering
SEL's Software Process Improvement Program
IEEE Software
Analyzing medium-scale software development
ICSE '78 Proceedings of the 3rd international conference on Software engineering
External experiments: a workable paradigm for collaboration between industry and academia
Lecture notes on empirical software engineering
Experimental validation of new software technology
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Formulation and preliminary test of an empirical theory of coordination in software engineering
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An exploratory study of process enactment as input to software process improvement
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Proceedings of the second international workshop on Software engineering for high performance computing system applications
Experimental Software Engineering: A New Conference
IEEE Software
A Model for Technology Transfer in Practice
IEEE Software
Protocols in the use of empirical software engineering artifacts
Empirical Software Engineering
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
Research Collaborations between Academia and Industry
FOSE '07 2007 Future of Software Engineering
The Future of Empirical Methods in Software Engineering Research
FOSE '07 2007 Future of Software Engineering
Requirements engineering: In search of the dependent variables
Information and Software Technology
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Journal of Systems and Software
International Journal of Information Systems and Change Management
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Journal of Systems and Software
A model for software rework reduction through a combination of anomaly metrics
Journal of Systems and Software
ACM SIGSOFT Software Engineering Notes
ENNA: software effort estimation using ensemble of neural networks with associative memory
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
Analysis of Naive Bayes' assumptions on software fault data: An empirical study
Data & Knowledge Engineering
On the relative value of cross-company and within-company data for defect prediction
Empirical Software Engineering
Stable rankings for different effort models
Automated Software Engineering
Automatically finding the control variables for complex system behavior
Automated Software Engineering
Software Process Improvement barriers: A cross-cultural comparison
Information and Software Technology
Information and Software Technology
An industrial case study of classifier ensembles for locating software defects
Software Quality Control
Tool support for disseminating and improving development practices
Software Quality Control
Motivators of software process improvement: an analysis of vietnamese practitioners' views
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
Software development improvement with SFIM
PROFES'07 Proceedings of the 8th international conference on Product-Focused Software Process Improvement
De-motivators of software process improvement: an analysis of vietnamese practitioners' views
PROFES'07 Proceedings of the 8th international conference on Product-Focused Software Process Improvement
Using practice outcome areas to understand perceived value of CMMI specific practices for SMEs
EuroSPI'07 Proceedings of the 14th European conference on Software Process Improvement
Maps of lessons learnt in requirements engineering: a research preview
REFSQ'13 Proceedings of the 19th international conference on Requirements Engineering: Foundation for Software Quality
The adoption of software measures: A technology acceptance model (TAM) perspective
Information and Management
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For 25 years the NASA/GSFC Software Engineering Laboratory (SEL) has been a major resource in software process improvement activities. But due to a changing climate at NASA, agency reorganization, and budget cuts, the SEL has lost much of its impact. In this paper we describe the history of the SEL and give some lessons learned on what we did right, what we did wrong, and what others can learn from our experiences. We briefly describe the research that was conducted by the SEL, describe how we evolved our understanding of software process improvement, and provide a set of lessons learned and hypotheses that should enable future groups to learn from and improve on our quarter century of experiences.