Fault Predictions in Object Oriented Software
R Bremananth, R Thushara

TL;DR
This paper presents a fault prediction model for Java software focusing on inheritance and constraint violations, aiming to identify faulty classes and improve software reliability.
Contribution
It introduces a novel fault prediction approach that classifies and clusters faults in Java classes to enhance fault detection and software reliability prediction.
Findings
Faulty classes can be effectively separated using the proposed model.
Faults are classified according to specific fault types within classes.
Clustering faults helps in understanding fault distribution and improving testing strategies.
Abstract
The dynamic software development organizations optimize the usage of resources to deliver the products in the specified time with the fulfilled requirements. This requires prevention or repairing of the faults as quick as possible. In this paper an approach for predicting the run-time errors in java is introduced. The paper is concerned with faults due to inheritance and violation of java constraints. The proposed fault prediction model is designed to separate the faulty classes in the field of software testing. Separated faulty classes are classified according to the fault occurring in the specific class. The results are papered by clustering the faults in the class. This model can be used for predicting software reliability.
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Taxonomy
TopicsSoftware Engineering Research · Software Reliability and Analysis Research · Software Testing and Debugging Techniques
