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Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study [PDF]

open access: goldPeerJ Computer Science, 2021
Software Fault Prediction (SFP) assists in the identification of faulty classes, and software metrics provide us with a mechanism for this purpose. Besides others, metrics addressing inheritance in Object-Oriented (OO) are important as these measure ...
Syed Rashid Aziz   +2 more
doaj   +5 more sources

Experimental Validation of Inheritance Metrics’ Impact on Software Fault Prediction [PDF]

open access: goldIEEE Access, 2019
Software faults can cause trivial annoyance to catastrophic failures. Recent work in software fault prediction (SFP) advocates the need for predicting faults before deployment to aid testing process. Object-oriented programming is complex while comparing
Syed Rashid Aziz   +2 more
doaj   +4 more sources

Inheritance-based object-oriented software metrics [PDF]

open access: closedTENCON'92 - Technology Enabling Tomorrow, 2003
There is no software metrics based on object-oriented programming languages (OOPLs) developed to help object-oriented software development. A graph-theoretical complexity metric to measure object-oriented software complexity is described. It shows that inheritance has a close relation with the object-oriented software complexity, and reveals that ...
C.-M. Chung, M.-C. Lee
core   +4 more sources

Inheritance software metrics on smart contracts [PDF]

open access: goldProceedings of the 28th International Conference on Program Comprehension, 2020
Blockchain systems have gained substantial traction recently, partly due to the potential of decentralized immutable mediation of economic activities. Ethereum is a prominent example that has the provision for executing stateful computing scripts known as Smart Contracts.
Sai, Ashish Rajendra   +3 more
openaire   +3 more sources

Evaluation of reusability in Aspect Oriented Software using inheritance metrics [PDF]

open access: green2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies, 2014
Aspect-Oriented Software Development (AOSD) is a promising methodology for efficiently capturing the cross-cutting functionalities (concerns) as independent units called aspects. Inheritance of classes and aspects play a vital role in defining the units of encapsulation. Hence, it is essential to quantitatively capture the impact of inheritance in AOSD
A, Vinobha   +2 more
openaire   +4 more sources

Maintainability Evaluation for Object Oriented Software Metrics Using Tool Cohesion Inheritance (COIN)

open access: diamondTurkish Journal of Computer and Mathematics Education (TURCOMAT), 2021
In modern era, maintainability is an important part for software development that covers approx. 70-75% of development cost of the software system. It can allow the customer to adapt the software quickly and easily in an agile manner. Object oriented software metrics plays an important role for the designing of software development. Its features can be
Et. al. Amit Sharma
openaire   +3 more sources

New Proposed Inheritance Metrics to Measure the Software Complexity

open access: bronzeInternational Journal of Computer Applications, 2012
Inheritance is an important aspect of object-oriented paradigm during software development. Inheritance supports the class hierarchy design and relation between classes and inheritance also has an impact on the complexity of software. Complexity of software increases the testing and maintenance efforts. So researchers and developer always try to reduce
Rajender S. Chillar, Preeti Gulia
openaire   +2 more sources

Peer Review #1 of "Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study (v0.2)"

open access: gold, 2021
Syed Rashid   +99 more
  +8 more sources

A Comparative analysis of usage of Inheritance Metrics on software fault prediction using Machine Learning Technique

open access: bronzeInternational Journal of Advanced Trends in Computer Science and Engineering, 2020
A Brihathi
openaire   +2 more sources

Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction [PDF]

open access: yesPeerJ Computer Science, 2021
Fault prediction is a necessity to deliver high-quality software. The absence of training data and mechanism to labeling a cluster faulty or fault-free is a topic of concern in software fault prediction (SFP).
Syed Rashid Aziz   +2 more
doaj   +2 more sources

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