most citedMetamorphic Testing of a Deep Learning based Forecaster

1 citations · 1 across the 1 of their papers we have counts for

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6 papers

cs.LG20191 cited

Metamorphic Testing of a Deep Learning based Forecaster

Anurag Dwarakanath, Manish Ahuja, Sanjay Podder +3

In this paper, we present the Metamorphic Testing of an in-use deep learning based forecasting application. The application looks at the past data of system characteristics (e.g. `…

cs.SE2018

Trustworthiness in Enterprise Crowdsourcing: a Taxonomy & evidence from data

Anurag Dwarakanath, Shrikanth N. C., Kumar Abhinav +1

In this paper we study the trustworthiness of the crowd for crowdsourced software development. Through the study of literature from various domains, we present the risks that impac…

cs.SE2018

Machines that test Software like Humans

Anurag Dwarakanath, Neville Dubash, Sanjay Podder

Automated software testing involves the execution of test scripts by a machine instead of being manually run. This significantly reduces the amount of manual time & effort needed a…

cs.SE2018

Minimum Number of Test Paths for Prime Path and other Structural Coverage Criteria

Anurag Dwarakanath, Aruna Jankiti

The software system under test can be modeled as a graph comprising of a set of vertices, (V) and a set of edges, (E). Test Cases are Test Paths over the graph meeting a particular…

cs.SE2018

Accelerating Test Automation through a Domain Specific Language

Anurag Dwarakanath, Dipin Era, Aditya Priyadarshi +2

Test automation involves the automatic execution of test scripts instead of being manually run. This significantly reduces the amount of manual effort needed and thus is of great i…

cs.SE2018

Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing

Anurag Dwarakanath, Manish Ahuja, Samarth Sikand +4

We have recently witnessed tremendous success of Machine Learning (ML) in practical applications. Computer vision, speech recognition and language translation have all seen a near…