Prognostics and Health Management
Prognostic and Health Management (PHM) can be applied for Software Systems as well.
Prognostics and Health Management (PHM) has been widely applied to hardware systems in the electronics and non-electronics domains but has not been explored for software systems. However, PHM can now be applied to dynamically predict response time.[1] based remaining useful life (RUL) of software systems[2]
Application of PHM for Software System
Continuous prediction of RUL of a software system based on usage parameters (e.g., the numbers and categories of releases) and performance parameters (e.g., response time) can assist in decision making for software systems such as version update/upgrade, module changes, system re-engineering, rejuvenation, maintenance scheduling, budgeting, and total abandonment. This also can ensure high performance and save money by reducing unexpected failures and by assisting in planning preventive maintenance and releases.
Appropriate Usage Parameter
However, unlike hardware, software errors do not develop over time. But, they are introduced over releases as flaws and errors at every stage of the software life cycle. Hence, release cycle is the most appropriate usage parameter.
References
- ↑ Arora, Ishani; Tetarwal, Vivek; Saha, Anju (2015). "Open Issues in Software Defect Prediction". Procedia Computer Science. 46: 906–912. doi:10.1016/j.procs.2015.02.161.
- ↑ Islam, Mohammad Rubyet; Sandborn, Peter (2021-08-17). "Application of Prognostics and Health Management (PHM) to Software System Fault and Remaining Useful Life (RUL) Prediction". Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC). Virtual, Online: American Society of Mechanical Engineers: V005T05A006. doi:10.1115/DETC2021-70508. ISBN 978-0-7918-8541-3. Unknown parameter
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