Bio
Dr. K. Venkata Subba Reddy is a distinguished academic and researcher in the field of Computer Science and Engineering, currently affiliated with Muffakham Jah College of Engineering and Technology in Hyderabad, India. He earned his Ph.D. in Computer Science and Engineering, focusing on Software Engineering. Dr. Reddy has made significant contributions to software reliability engineering, including models for multiple releases with imperfect debugging, component-based reliability assessment, and fault detection processes. His recent work extends to machine learning applications in healthcare, such as heart disease prediction using ensemble random forests. With over 7 publications and 18 citations, his research has garnered recognition, reflected in an h-index of 3. He actively serves as a reviewer for the Global Journal of Computer Science and Technology (GJCST) and has guided 8 PhD scholars, underscoring his dedication to advancing knowledge and nurturing future researchers.
Educational Journey
Ph.D • Computer Science and Engineering
Experience
Muffakham Jah College of Engineering and Technology
0 - 0Editors Role
Reviewer
GJCST
2016 -Research
Prediction and Estimation of Fault Detection Process in Software Reliability Assessment
Developing high-quality reliability models is one of the key concerns in the domain of software reliability. The enhanced software reliability model ought to give superior predictions of upcoming malfunction manners, calculate helpful quantities and be extensively relevant. Hence, an extremely significant purpose of existing software reliability study is to build up broad prediction models, for a software supervisor, it is imperative to be capable to foretell the upcoming performance of the fault discovery and rectification procedure. The forecast is imperative for the allotment of additional testing assets and for the learning of software release troubles. No solitary step only is ample to decide the most excellent constraint assessment technique on a specified dataset. In reality, software supervisors would have a preference to observe steadily minor proportion of the data forecasted, as the more the testing procedure runs, the extra costly it becomes. In this direction, this paper key center is to provide high-quality forecasts to evaluation procedures for software testing.
Performance Analysis of Improved Component based Software Reliability Model
Software reliability engineering techniques focus on development and maintenance of software systems. This paper presents a improved component model. The model is used to estimate the reliability of software systems and the usage ration of each component. A component impact analysis which helps in focusing of testing is presented .The proposed method exhibits considerable improvement when compared against conventional methods.
