Abstract: In this research work we have developed a threshold algorithm that helps to differentiate the metrics values into four categories for identification of degree for software rot,that might occur in life cycle of software project been build, development and release based on agile development model.Our algorithm make use of dynamic range values for each metric rather than using simply mean for calculating multiple deviations for degree of software rot.As a result from this algorithm we can infer how much prone is software project leading to software rot or near amendment of software project
Background. Practical use of software code measures for faultiness estimation often requires setting...
Software project tracking and project plan adjustment are two important software engineering activit...
AbstractA software developer has to deal with a lot of challenging requirements such as cost predict...
UnrestrictedDefect prediction and removal continues to be an important subject in software engineeri...
This paper analyses the effect of the effort distribution along the software development lifecycle o...
Software development life cycle maintenance has been advocated as the critical part that consumes m...
Modern software development relies on incremental delivery to facilitate quick response to customers...
Abstract: The Software engineering is a application of a systematic, disciplined, quantifiable appro...
Copyright © 2014 Javier Alfonso-Cendón et al. This is an open access article distributed under the ...
The purpose of this study was to discover such a way to use product metrics in agile software develo...
During software development two important decisions organizations have to make are: how to allocate ...
Background. Practical use of software code measures for faultiness estimation often requires setting...
The knowledge about the software metrics, which serve as quality indicators, is vital for the efficien...
One of the important aims of the continuous software development process is to localize and remove a...
Abstract:- Predicting residual defects (i.e. remaining defects or failures) in Open Source Software ...
Background. Practical use of software code measures for faultiness estimation often requires setting...
Software project tracking and project plan adjustment are two important software engineering activit...
AbstractA software developer has to deal with a lot of challenging requirements such as cost predict...
UnrestrictedDefect prediction and removal continues to be an important subject in software engineeri...
This paper analyses the effect of the effort distribution along the software development lifecycle o...
Software development life cycle maintenance has been advocated as the critical part that consumes m...
Modern software development relies on incremental delivery to facilitate quick response to customers...
Abstract: The Software engineering is a application of a systematic, disciplined, quantifiable appro...
Copyright © 2014 Javier Alfonso-Cendón et al. This is an open access article distributed under the ...
The purpose of this study was to discover such a way to use product metrics in agile software develo...
During software development two important decisions organizations have to make are: how to allocate ...
Background. Practical use of software code measures for faultiness estimation often requires setting...
The knowledge about the software metrics, which serve as quality indicators, is vital for the efficien...
One of the important aims of the continuous software development process is to localize and remove a...
Abstract:- Predicting residual defects (i.e. remaining defects or failures) in Open Source Software ...
Background. Practical use of software code measures for faultiness estimation often requires setting...
Software project tracking and project plan adjustment are two important software engineering activit...
AbstractA software developer has to deal with a lot of challenging requirements such as cost predict...