نتایج جستجو برای: software fault prediction
تعداد نتایج: 732854 فیلتر نتایج به سال:
A Combined Approach of Software Metrics and Software Fault Analysis to Estimate Software Reliability
This paper presents a fault prediction model using reliability relevant software metrics and fuzzy inference system. For this a new approach is discussed to develop fuzzy profile of software metrics which are more relevant for software fault prediction. The proposed model predicts the fault density at the end of each phase of software development using relevant software metrics. On the basis of...
This paper presents a fault prediction model using reliability relevant software metrics and fuzzy inference system. For this a new approach is discussed to develop fuzzy profile of software metrics which are more relevant for software fault prediction. The proposed model predicts the fault density at the end of each phase of software development using relevant software metrics. On the basis of...
Predicting fault -prone software components is an economically important activity due to limited budget allocation for software testing. In recent years data mining techniques are used to predict the software faults .In this research, we present a cluster based fault prediction classifiers which increases the probability of detection. The expectation from a predictor is to get very high probabi...
Software fault prediction models are created by using the source code, processed metrics from the same or previous version of code and related fault data. Some company do not store and keep track of all artifacts which are required for software fault prediction. To construct fault prediction model for such company, the training data from the other projects can be one potential solution. Earlier...
Software testing plays a vital role in software development especially when the software developed is mission, safety and business critical applications. Software testing is the most time consuming and costly phase. Prediction of a modules info fault-prone and non fault prone prior to testing is one of the cost effective technique. Predicting a safe module as faulty increases the cost of projec...
Fault proneness prediction of a software module having a great role in the quality assurance. Faults proneness prediction is to find the areas of the software which have a greater impact. In today’s world it is becoming a big issue to find the fault prone modules. Faults are the flaws in the software that can cause a failure. Most of the failures are in the small parts of the software modules. ...
Quality assurance tasks such as testing, verification and validation, fault tolerance, and fault prediction play a major role in software engineering activities. Fault prediction approaches are used when a software company needs to deliver a finished product while it has limited time and budget for testing it. In such cases, identifying and testing parts of the system that are more defect prone...
Data mining and machine learning techniques have been used in several scientific applications including software fault predictions in large space systems. State-of the-art research revealed that existing space systems succumb to enigmatic software faults leading to critical loss of life and capital. This article presents a novel approach to solve this issue of overlooking software faults by uti...
Fault prediction will give one more chance to the development team to retest the modules or files for which the defectiveness probability is high. By spending more time on the defective modules and no time on the non-defective ones, the resources of the project would be utilized better and as a result, the maintenance phase of the project will be easier for both the customers and the project ow...
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