International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

A Newly Proposed Ambidextrous Software Testing Model Based on Conventional Black Box Testing Strategy Using the Applications of Gaussian Distribution

Abstract

To Tests Software Systems with all of its aspects and areas are really very typical and challenging tasks for today’s Software Engineering issues. Bug free and fully tested software systems are very typical to build or manufacture and one of the most challenging tasks for recent software industries issues in today’s information age, because many software systems crash out or failure due to the reason of bug presence, or partial testing approach or not fully tested the software systems and missing the  examine of the behavior of the software systems with all of its input values, but it’s a very complex and typical tasks to tests any software systems with all of its possible input tests values. So the need of the hour is we have some potential and robust software system testing model which are responsible and also capable to tests any software system product with all of its functionalities with including all areas and investigate or to examine the behavior of software system for all of its possible input tests values with also achieve greater reliability. Some Black Box testing strategies such as Equivalent Partitioning and Boundary Value Analysis (BVA), which are responsible to provide range of input vales among multiple values, but we don’t have any strict mechanisms to filter or to select some input tests values among the set of multiple input tests, because the major reason behind the software crisis and software failures are that we don’t check software systems with all of its input values or missing to notify the behavior of software systems for some particular input, Here we proposed a robust software testing model, which adopts the mechanisms of Gaussian Distribution for selection of input data and work at the module level of software systems and this model also applies with each module of software systems.

Country : India

1 Shivankur Thapliyal2 Renu Bahuguna

  1. Assistant Professor, Computer Science and Engineering, Doon Institute of Engineering and Technology, Rishikesh, Uttarakhand, India
  2. Head of Department, Computer Science and Engineering, Doon Institute of Engineering and Technology, Rishikesh, Uttarakhand, India

IRJIET, Volume 5, Issue 8, August 2021 pp. 94-101

doi.org/10.47001/IRJIET/2021.508016

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