Error-Type—A Novel Set of Software Metrics for Software Fault Prediction [PDF]
In software development, identifying software faults is an important task. The presence of faults not only reduces the quality of the software, but also increases the cost of development life cycle.
Khoa Phung +2 more
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Software Fault-Freeness and Reliability Predictions [PDF]
Many software development practices aim at ensuring that software is correct, or fault-free. In safety critical applications, requirements are in terms of probabilities of certain behaviours, e.g. as associated to the Safety Integrity Levels of IEC 61508.
Strigini, L., Povyakalo, A. A.
openaire +5 more sources
Vovel metrics—novel coupling metrics for improved software fault prediction [PDF]
Software is a complex entity, and its development needs careful planning and a high amount of time and cost. To assess quality of program, software measures are very helpful.
Rizwan Muhammad +2 more
doaj +3 more sources
Software development projects require a critical and costly testing phase to investigate efficiency of the resultant product. As the size and complexity of project increases, manual prediction of software defects becomes a time consuming and costly task.
Fatih Yucalar +3 more
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A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction
Software testing is a very important part of the software development life cycle to develop reliable and bug-free software but it consumes a lot of resources like development time, cost, and effort.
Manpreet Singh, Jitender Kumar Chhabra
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Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study [PDF]
Software Fault Prediction (SFP) assists in the identification of faulty classes, and software metrics provide us with a mechanism for this purpose. Besides others, metrics addressing inheritance in Object-Oriented (OO) are important as these measure ...
Syed Rashid Aziz +2 more
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Piecewise Congruence Regressed Indexive Extreme Learning Classifier for Software Fault Prediction
Software fault prediction is a significant task in software development to discover faults early. It is the process of developing models that can be used by the software practitioners in the early phases of software development life cycle for detecting ...
Sureka Sivavelu, Venkatesh Palanisamy
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Applying Machine Learning to Software Fault Prediction [PDF]
Introduction: Software engineering continuously suffers from inadequate software testing. The automated prediction of possibly faulty fragments of source code allows developers to focus development efforts on fault-prone fragments first. Fault prediction
Bartłomiej Wójcicki, Robert Dąbrowski
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Examining the Predictive Capability of Advanced Software Fault Prediction Models – An Experimental Investigation Using Combination Metrics [PDF]
Background: Fault prediction is a key problem in software engineering domain. In recent years, an increasing interest in exploiting machine learning techniques to make informed decisions to improve software quality based on available data has been ...
Pooja Sharma, Amrit Lal Sangal
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Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction. [PDF]
Khan B, Nadeem A.
europepmc +2 more sources

