Predicting Fault-Proneness: Do We Finally Know How?
نویسندگان
چکیده
منابع مشابه
Evaluation of Classifiers in Software Fault-Proneness Prediction
Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible to judge the software reliability. In predicting software fault-prone modules, one of the contributing features is software metric by which one ...
متن کاملFault Proneness of Classes in Object-oriented Systems
Predicting fault proneness of classes in object oriented systems (OOS) is one of the fault management activities and may be considered as one of the cost effective ways to deal with faults. Prediction of faults needs identification and measurement of various factors that affects fault proneness of classes in OOS. In this paper, several design oriented factors have been identified that help in c...
متن کاملA Hybrid Fault-Proneness Detection Approach Using Text Filtering and Static Code Analysis
We have proposed a fault-prone software module detection method using text-filtering approach, called Fault-proneness filtering. Even though the fault-proneness filtering achieved high accuracy in detecting fault-prone modules, the detail of each fault cannot be specified enough. We thus try to complete such weakness of the fault-proneness filtering by using static code analysis. To do so, we a...
متن کاملExpert-Based Software Measurement Data Analysis with Clustering Techniques
Software quality estimation models, used to predict the fault-proneness of software modules based on software metrics, are often constructed by training a classifier from labeled software metrics data. Two challenges often encountered in building an accurate model are the presence of “noisy” data and the possible unavailability of fault-proneness labels in real-world projects. The performance o...
متن کاملSoftware Metrics Evaluation Based on Entropy
Software engineering activities in the Industry has come a long way with various improvements brought in various stages of the software development life cycle. The complexity of modern software, the commercial constraints and the expectation for high quality products demand the accurate fault prediction based on OO design metrics in the class level in the early stages of software development. T...
متن کامل