Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality.
Luis RiveroJoão Otávio Bandeira DinizGiovanni Lucca França da SilvaGabriel BorralhoGeraldo Braz JuniorAnselmo Cardoso de PaivaErika W. B. A. L. AlvesMilton S. L. de OliveiraPublished in: SBQS (2020)
Keyphrases
- lessons learned
- software quality
- software development
- machine learning
- quality assurance
- development process
- case study
- development teams
- software systems
- software industry
- software engineering
- software projects
- software testing
- software metrics
- regression testing
- future directions
- software product
- software development projects
- software quality classification
- development life cycle
- software reuse
- artificial intelligence
- project management
- life cycle
- product quality
- machine learning methods
- project managers
- feature selection
- decision trees
- component based development
- program understanding
- participatory design
- development effort
- user interface
- software process
- software components
- source code
- software modules
- multi agent systems
- test suite
- source code metrics