Dr Emmanuel Ogunshile Emmanuel.Ogunshile@uwe.ac.uk
Programme Leader for BSc(Hons) Data Science & PhD Director of Studies
CompleX-Machine: An automated testing tool using X-Machine theory
Ogunshile, Emmanuel
Authors
Abstract
This paper is aimed at creating an Automatic Java X-Machine testing tool for software development. The nature of software development is changing. Thus, the type of software testing tools required is also changing. Software is growing increasingly complex and, in part due to commercial impetus for faster software releases with new features and value, increasingly in danger of containing faults. These faults can incur huge cost for software development organisations and users; Cambridge Judge Business School’s research estimated the cost of software bugs to the global economy is $312 billion. Beyond the cost, faster software development methodologies and increasing expectations on developers to become testers is driving demand for faster, automated, and effective tools to prevent potential faults as early as possible in the software development lifecycle. Using X-Machine theory, this paper will explore a new tool to address software complexity, changing expectations on developers, faster development pressures and methodologies, with a view to reducing the huge cost of fixing software bugs.
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 23, 2018 |
Publication Date | Jan 1, 2018 |
Deposit Date | Jan 26, 2018 |
Publicly Available Date | Feb 21, 2018 |
Journal | International Journal of Computer and Systems Engineering |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 3 |
Pages | 123-131 |
DOI | https://doi.org/10.1999/1307-6892/10008653 |
Keywords | conformance testing, finite state machine, software testing, X-Machine |
Public URL | https://uwe-repository.worktribe.com/output/875427 |
Publisher URL | http://scholar.waset.org/1307-6892/10008653 |
Contract Date | Jan 26, 2018 |
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