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Case Study Of GIPSY and MARF

Metrics are used mainly to predict software engineering efforts such as maintenance effort, error Prone ness, and error rate. This document emphasis on experimental study based on two open source systems namely MARF and GIPSY. With the help of various research papers we were able to analyze and give priorities to various metrics that are implemented with JDeodrant. LOGISCOPE and McCabe tools are used to identify problematic classes with help of Kiviat graph and average Cyclomatic Complexity that further are implemented with highest priority metric with JDeodrant. To obtain accurate results we collected data using different tools. The analysis of the two systems is done as a conclusion of study using different tools.

preprint2014arXivOpen access
Ajay Kumar ThakurBiswajit BanikPankaj Kumar PantDhanashree SankiniDipesh WaliaRenuka Milkoori
Software Engineering
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Open access6 authors1 topic
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Ajay Kumar ThakurBiswajit BanikPankaj Kumar PantDhanashree SankiniDipesh WaliaRenuka Milkoori

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