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ESPRET: A Tool for Execution Time Estimation of Manual Test Cases
Publication Type:
Journal article
Venue:
Journal of Systems and Software
Abstract
Manual testing is still a predominant and an important approach for validation
of computer systems, particularly in certain domains such as safetycritical
systems. Knowing the execution time of test cases is important to
perform test scheduling, prioritization and progress monitoring. In this work,
we present, apply and evaluate ESPRET (EStimation and PRediction of Execution
Time) as our tool for estimating and predicting the execution time of
manual test cases based on their test specifications. Our approach works by
extracting timing information for various steps in manual test specifcation.
This information is then used to estimate the maximum time for test steps
that have not previously been executed, but for which textual specifications
exist. As part of our approach, natural language parsing of the specifications
is performed to identify word combinations to check whether existing timing
information on various test steps is already available or not. Since executing
test cases on the several machines may take different time, we predict the
actual execution time for test cases by a set of regression models. Finally,
an empirical evaluation of the approach and tool has been performed on a
railway use case at Bombardier Transportation (BT) in Sweden.
Bibtex
@article{Tahvili5223,
author = {Sahar Tahvili and Wasif Afzal and Mehrdad Saadatmand and Markus Bohlin and Sharvathul Hasan Ameerjan},
title = {ESPRET: A Tool for Execution Time Estimation of Manual Test Cases},
volume = {161},
pages = {1--43},
month = {September},
year = {2018},
journal = {Journal of Systems and Software},
url = {http://www.es.mdu.se/publications/5223-}
}