Software Reliability Growth Model (SRGM) Based on Inverse Half Logistic Distribution
Pushpa Latha Mamidi1, R. Subba Rao2, R N V Jagan Mohan3

1Pushpa Latha Mamidi, Department of Mathematics, Vishnu Institute of Technology, Bhimavaram (Andhra Pradesh), India.
2R. Subba Rao, Department of Engineering Mathematics, S.R.K.R. Engineering College, Bhimavaram, India.
3R N V Jagan Mohan, Department of Information Technology, S.R.K.R. Engineering College, Bhimavaram (Andhra Pradesh), India.
Manuscript received on 14 May 2019 | Revised Manuscript received on 08 June 2019 | Manuscript Published on 15 June 2019 | PP: 298-301 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10530681S319/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: In the recent studies most of the researchers are studying the Reliability of the Software using probability growth models, which are established to detect the fault portion and used for the reliability estimation in the software system. In the present, recent contributions we considered Inverse Half Logistic Distribution (IHLD) as an SRGM along with several reliability performance measures. The foremost requirement of software reliability model is developed concerning to IHLD. An NHPP is used to establish the estimation procedures and finding the system reliability using IHLD.
Keywords: IHLD, Reliability Estimation, Mean Value Function, Maximum Likelihood Estimation.
Scope of the Article: Software Engineering & Its Applications