Modeling For Software Quality Assurance - Srivyshnavi, Pagadala
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In this Book, an attempt has been made by focusing on SDLC process composed at the project level and their behavioral over time. The process behavior is monitored across projects performance is modeled by identifying the relevant dependent and independent variable. A Multiple linear regression model has been specified to predict total defects in the code by studying various process variables. This model confirms coding effort and testing effort would significantly influence the total defects present in the code. One can make predictions on the number of defects present in the code by…mehr

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Produktbeschreibung
In this Book, an attempt has been made by focusing on SDLC process composed at the project level and their behavioral over time. The process behavior is monitored across projects performance is modeled by identifying the relevant dependent and independent variable. A Multiple linear regression model has been specified to predict total defects in the code by studying various process variables. This model confirms coding effort and testing effort would significantly influence the total defects present in the code. One can make predictions on the number of defects present in the code by controlling coding and testing efforts.Differnt types of Software development Life cycles; The capability maturity Model Integration(CMMI) levels and all the process areas that are to be implemented; The International Organization for standardization(ISO) standards used for Quality management; and the process quality metrics collected throughout the process areas in the Industry GSS InfoTech Limited,Hyderabad,India have been explained in the book
Autorenporträt
She is working as an Academic Consultant in the Department of Computer Science and Engineering & Information Technology in Sri Padmavati Mahila Visvavidyalayam, Tirupati,AndhraPradesh,India .She puts up 2 years of Teaching experience & published about 6 research articles in reputed National/International journals.