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June-2018
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal )
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UGC Approved Journal no 63975(19)
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR1806440
Registration ID:
183322
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Title
STATISTICAL ANALYSIS OF COHESHION AND INHERITANCE ON ANALYZABILITY
Abstract
Analyzability is one of the most important quality criteria for early stage of software development life cycle. In order to support the software systems, the quality of their design must be estimated using adequate quantification means. Analyzability is the best solution the software offer insight into the inner processing when required. In spite of the existing extensive use of software, if used in isolation, analyzability is oftentimes too fine grained to quantify comprehensively an investigated aspect of the software design. This paper proposes a analyzability impact analysis
Key Words
Analyzability , Software Quality , Maintainability , Quality Model
Cite This Article
"STATISTICAL ANALYSIS OF COHESHION AND INHERITANCE ON ANALYZABILITY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.358-361, June-2018, Available :http://www.jetir.org/papers/JETIR1806440.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"STATISTICAL ANALYSIS OF COHESHION AND INHERITANCE ON ANALYZABILITY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp358-361, June-2018, Available at : http://www.jetir.org/papers/JETIR1806440.pdf
Publication Details
Published Paper ID: JETIR1806440
Registration ID: 183322
Published In: Volume 5 | Issue 6 | Year June-2018
Page No: 358-361
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1806440
Published Paper PDF: https://www.jetir.org/papers/JETIR1806440
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