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Risk chain prediction metrics in software engineering

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description
 

The Software Industry faces dynamic changes in business environments and the advancements of technologies, information technology (IT) projects are facing lots of challenges, and there is a need of applying systematic approaches to deal with the risks to ensure the project’s success. This presents two atypical risk chain prediction metrics for barometer coupling and accord in software systems. Our aboriginal metric, Ideal Coupling between Object classes (ICBO), is based on the acclaimed CBO coupling metric, while the added metric, Ideal Lack of Cohesion on Methods (ILCOM5), is based on the LCOM5 accord metric. One advantage of the proposed risk chain prediction metrics is that they can be computed in a simpler way as compared to some of the structural metrics. We empirically advised ICBO and ILCOM5 for admiration fault proneness of classes in a ample accessible antecedent arrangement and compared these metrics with a host of absolute structural and risk chain prediction metrics for the aforementioned task.

Product Specifications
SKU :COC18043
AuthorAshish Kumar Tripathi
LanguageEnglish
BindingPaperback
Number of Pages116
Publishing Year12/20/2012
ISBN978-3844356687
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-27 00:00:00