Aspect Oriented Software Metrics Based Maintainability Assessment: Framework and Model

In this paper, I present accent-related variations unique to Asian-Indian speakers of English in the United States and identify specific speech and language features that contribute to an “Indian accent.” I present a model to answer some key questions related to assessment of Indian accents and help set a strong foundation for accent modification services.

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The Adult Autism Strategy Fulfilling and Rewarding Lives: Evaluating Progress--Next Step in the National Self Assessment Framework Exercise

PsycEXTRA Dataset ◽

10.1037/e500972012-001 ◽

2011 ◽

Keyword(s):

Assessment Framework ◽

Self Assessment ◽

Adult Autism

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Applying the Swedish Performance Assessment Framework in practise: assessment of efficiency and quality of psychiatric care

Psychiatrische Praxis ◽

10.1055/s-0031-1277827 ◽

2011 ◽

Vol 38 (S 01) ◽

Author(s):

B Lindelius ◽

E Björkenstam ◽

C Dahlgren ◽

R Ljung ◽

C Stefansson

Keyword(s):

Performance Assessment ◽

Psychiatric Care ◽

Assessment Framework

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Das Blockchain Assessment Framework

WiSt - Wirtschaftswissenschaftliches Studium ◽

10.15358/0340-1650-2018-5-40 ◽

2018 ◽

Vol 47 (5) ◽

pp. 40-41

Keyword(s):

Assessment Framework

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Energy Subsidy Reform Assessment Framework

10.1596/30254 ◽

2018 ◽

Cited By ~ 1

Author(s):

Anne Olivier ◽

Caterina Ruggeri Laderchi

Keyword(s):

Assessment Framework ◽

Energy Subsidy ◽

Subsidy Reform

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Neural Network Model to Calculate the Creep Data Using Size

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.60 ◽

2017 ◽

Vol 7 (8) ◽

pp. 257

Author(s):

Seetharam .K ◽

Sharana Basava Gowda ◽

. Varadaraj

Keyword(s):

Neural Network ◽

Risk Factors ◽

Software Engineering ◽

Network Model ◽

Neural Network Model ◽

Software Metrics ◽

Creep Data ◽

Engineering Software ◽

Function Points ◽

Different Levels

In Software engineering software metrics play wide and deeper scope. Many projects fail because of risks in software engineering development[1]t. Among various risk factors creeping is also one factor. The paper discusses approximate volume of creeping requirements that occur after the completion of the nominal requirements phase. This is using software size measured in function points at four different levels. The major risk factors are depending both directly and indirectly associated with software size of development. Hence It is possible to predict risk due to creeping cause using size.

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A Literature Review Study of Software Defect Prediction using Machine Learning Techniques

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i6.286 ◽

2018 ◽

Vol 6 (6) ◽

pp. 300 ◽

Cited By ~ 3

Author(s):

Feidu Akmel ◽

Ermiyas Birihanu ◽

Bahir Siraj

Keyword(s):

Machine Learning ◽

Software Metrics ◽

Quality Standard ◽

Machine Learning Techniques ◽

Software Systems ◽

Health Care Insurance ◽

Software Defect ◽

Learning Techniques ◽

Software Product

Software systems are any software product or applications that support business domains such as Manufacturing,Aviation, Health care, insurance and so on.Software quality is a means of measuring how software is designed and how well the software conforms to that design. Some of the variables that we are looking for software quality are Correctness, Product quality, Scalability, Completeness and Absence of bugs, However the quality standard that was used from one organization is different from other for this reason it is better to apply the software metrics to measure the quality of software. Attributes that we gathered from source code through software metrics can be an input for software defect predictor. Software defect are an error that are introduced by software developer and stakeholders. Finally, in this study we discovered the application of machine learning on software defect that we gathered from the previous research works.

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