Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Predicting the Location and Number of Faults in Large Software Systems
IEEE Transactions on Software Engineering
Building Defect Prediction Models in Practice
IEEE Software
Predicting fault-prone components in a java legacy system
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Using Historical In-Process and Product Metrics for Early Estimation of Software Failures
ISSRE '06 Proceedings of the 17th International Symposium on Software Reliability Engineering
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
The influence of organizational structure on software quality: an empirical case study
Proceedings of the 30th international conference on Software engineering
Implications of ceiling effects in defect predictors
Proceedings of the 4th international workshop on Predictor models in software engineering
Nearest neighbor sampling for cross company defect predictors: abstract only
DEFECTS '08 Proceedings of the 2008 workshop on Defects in large software systems
Ensemble of software defect predictors: a case study
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
On the effectiveness of early life cycle defect prediction with Bayesian Nets
Empirical Software Engineering
IEEE Transactions on Software Engineering
Analysis of Naive Bayes' assumptions on software fault data: An empirical study
Data & Knowledge Engineering
Optimized Resource Allocation for Software Release Planning
IEEE Transactions on Software Engineering
On the relative value of cross-company and within-company data for defect prediction
Empirical Software Engineering
Defect prediction from static code features: current results, limitations, new approaches
Automated Software Engineering
Information and Software Technology
Usage of multiple prediction models based on defect categories
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
On the value of learning from defect dense components for software defect prediction
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
Defect prediction using social network analysis on issue repositories
Proceedings of the 2011 International Conference on Software and Systems Process
An industrial case study of classifier ensembles for locating software defects
Software Quality Control
The inductive software engineering manifesto: principles for industrial data mining
Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering
An investigation on the feasibility of cross-project defect prediction
Automated Software Engineering
Privacy and utility for defect prediction: experiments with MORPH
Proceedings of the 34th International Conference on Software Engineering
Influence of confirmation biases of developers on software quality: an empirical study
Software Quality Control
Better cross company defect prediction
Proceedings of the 10th Working Conference on Mining Software Repositories
An algorithmic approach to missing data problem in modeling human aspects in software development
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
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We have conducted a study in a large telecommunication company in Turkey to employ a software measurement program and to predict pre-release defects. We have previously built such predictors using AI techniques. This project is a transfer of our research experience into a real life setting to solve a specific problem for the company: to improve code quality by predicting pre-release defects and efficiently allocating testing resources. Our results in this project have many practical implications that managers have started benefiting: code analysis, bug tracking, effective use of version management system and defect prediction. Using version history information, developers can find around 88% of the defects with 28% false alarms, compared to same detection rate with 50% false alarms without using historical data. In this paper we also shared in detail our experience in terms of the project steps (i.e. challenges and opportunities).