Time variance and defect prediction in software projects
نویسندگان
چکیده
منابع مشابه
Defect Inflow Prediction in Large Software Projects
Performance of software projects can be improved by providing predictions of various project characteristics. The predictions warn managers with information about potential problems and provide them with the possibility to prevent or avoid problems. Large software projects are characterized by a large number of factors that impact the project performance, which makes predicting project characte...
متن کاملPredicting Defect Types in Software Projects
Predicting software defects has been one of the most demanding tasks for software engineering researchers and practitioners. The work in this area resulted in producing various defect prediction models. Their common weakness is that they typically treat all defects equally. However, software companies need to categorize defects found in their products to estimate user satisfaction and to priori...
متن کاملSoftware Defect Prediction Modeling
Defect predictors are helpful tools for project managers and developers. Accurate predictors may help reducing test times and guide developers for implementing higher quality codes. We propose a statistical defect predictor model with two major differences from the existing ones. Our model will use static code measures as input, since they can easily be collected with automated tools and preven...
متن کاملImproved Software Defect Prediction
Although a number of approaches have been taken to quality prediction for software, none have achieved widespread applicability. This paper describes a single model to combine the diverse forms of, often causal, evidence available in software development in a more natural and efficient way than done previously. We use Bayesian Networks as the appropriate formalism for representing defect introd...
متن کاملSurvey on Software Defect Prediction
Software defect prediction is one of the most active research areas in software engineering. Defect prediction results provide the list of defect-prone source code artifacts so that quality assurance teams can effectively allocate limited resources for validating software products by putting more effort on the defect-prone source code. As the size of software projects becomes larger, defect pre...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Empirical Software Engineering
سال: 2011
ISSN: 1382-3256,1573-7616
DOI: 10.1007/s10664-011-9180-x