A walk through of software testing techniques | Semantic Scholar

A model to predict the total number of software failures in a software system by analyzing the failure data from testing using failure data and code coverage are combined in a Bayesian way is proposed.

A model to predict the total number of software failures in a software system by analyzing the failure data from testing using failure data and code coverage are combined in a Bayesian way is proposed.

A hybrid approach of keyword-data driven strategy is presented, in which the test data and script are separated to allow for various datasets and greater coverage, for improved test coverage.

A hybrid approach of keyword-data driven strategy is presented, in which the test data and script are separated to allow for various datasets and greater coverage, for improved test coverage.

A data driven approach is proposed, where test data and test script are split to support multiple datasets and better coverage, and this split process used across multiple modules for better test coverage.

A data driven approach is proposed, where test data and test script are split to support multiple datasets and better coverage, and this split process used across multiple modules for better test coverage.

This work proposes a novel approach for automatic test case generation from the combination of UML class diagrams using any online drawing tool like smart draw or yuml.com, suitable for mutation testing and unit testing.

This work proposes a novel approach for automatic test case generation from the combination of UML class diagrams using any online drawing tool like smart draw or yuml.com, suitable for mutation testing and unit testing.

The process of automation of a website in a corporate environment is elaborated, which can verify the continuous logical and behavioral functionality over a long period of time without the Human labor involved in Manual testing.

The process of automation of a website in a corporate environment is elaborated, which can verify the continuous logical and behavioral functionality over a long period of time without the Human labor involved in Manual testing.

The fuzzy logic based selection of team in the team selector phase will reduce the risk of failure of the software and hence the defects or risk identified in testing phase will decrease as the team which is best for the project will be employed.

The fuzzy logic based selection of team in the team selector phase will reduce the risk of failure of the software and hence the defects or risk identified in testing phase will decrease as the team which is best for the project will be employed.

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)

This research presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and cataloging the components of a software product.

This research presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and cataloging the components of a software product.

The proposed work describes about the software evaluation using cognitive computing which is very inventive with wide range of benefits and provides excellent result and improves the efficiency of the company and helps to build advanced software’s.

The proposed work describes about the software evaluation using cognitive computing which is very inventive with wide range of benefits and provides excellent result and improves the efficiency of the company and helps to build advanced software’s.

Data visualization tool for student dropouts in Tanzania

A Dissertation Submitted in Partial Fulfilment of the Requirements for the Degree of
Master’s in Information and Communication Science and Engineering of the Nelson
Mandela African Institution of

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