sridevi gutta - Academia.edu (original) (raw)

Papers by sridevi gutta

Software quality depends upon Software Reliability as it is one of its most important characteris... more Software quality depends upon Software Reliability as it is one of its most important characteristics. Software Reliability is an important attribute of software quality, together with functionality, usability, performance, serviceability, capability, installability, maintainability, and documentation. It is hard to be achieved, because the complexity of software tends to be high. The development of many Software Reliability Growth Models (SRGMs) over the last several decades have resulted in the improvement of software facilitating many engineers and managers in tracking and measuring the growth of reliability. This paper proposes Pareto type IV based Software Reliability growth model with interval domain data. The unknown parameters of the model are estimated using the maximum likelihood (ML) estimation approach. Reliability of a software system using Pareto type IV distribution, which is based on Non-Homogenous poisson process (NHPP) is presented through estimation procedures. Co...

Intelligent Computing and Innovation on Data Science, 2020

Web growth has been driven by a number of techniques. In massive scale processing, cloud computin... more Web growth has been driven by a number of techniques. In massive scale processing, cloud computing is the rising technology. It is a method that consists of varied software and Web-enabled services. As cloud computing grows speedily and purchasers are stringent a lot of services, the traffic on the cloud increases tremendously. Thus, managing load balance is very interesting and important research area nowadays. A decent load balancing algorithm can enhance the performance and resource utilization by dynamically distributing workload among a range of nodes within the system. This paper addresses a comprehensive summary on load balancing algorithms, challenges, and various presently offered load balancing software and its features.

International Journal of Computer Applications, 2014

Software Reliability Growth model (SRGM) is a mathematical model of how the software reliability ... more Software Reliability Growth model (SRGM) is a mathematical model of how the software reliability improves as faults are detected and repaired. The development of many SRGMs over the last several decades have resulted in the improvement of software facilitating many engineers and managers in tracking and measuring the growth of reliability. This paper proposes Burr type XII based Software Reliability growth model with time domain data. The unknown parameters of the model are estimated using the maximum likelihood (ML) estimation method. Reliability of a software system using Burr type XII distribution, which is based on Non-Homogenous Poisson process (NHPP), is presented through estimation procedures. The performance of the SRGM is judged by its ability to fit the software failure data. How good does a mathematical model fit to the data is also being calculated. To access the performance of the considered SRGM, we have carried out the parameter estimation on the real software failure datasets.

Cybernetics and Information Technologies, 2020

The goal of DevOps is to cut down the project timelines, increase the productivity, and manage ra... more The goal of DevOps is to cut down the project timelines, increase the productivity, and manage rapid development-deployment cycles without impacting business and quality. It requires efficient sprint management. The objective of this paper is to develop different sprint level project management tools for quick project level Go/No-Go decision making (using real-time projects data and machine learning), sprint estimation technique (gamified-consensus based), statistical understanding of overall project management maturity, project sentiment & perception. An attempt is made to device a model to calibrate the perception or the tone of a project culture using sentiment analysis.

International Journal of Forensic Software Engineering, 2019

Software quality depends upon Software Reliability as it is one of its most important characteris... more Software quality depends upon Software Reliability as it is one of its most important characteristics. Software Reliability is an important attribute of software quality, together with functionality, usability, performance, serviceability, capability, installability, maintainability, and documentation. It is hard to be achieved, because the complexity of software tends to be high. The development of many Software Reliability Growth Models (SRGMs) over the last several decades have resulted in the improvement of software facilitating many engineers and managers in tracking and measuring the growth of reliability. This paper proposes Pareto type IV based Software Reliability growth model with interval domain data. The unknown parameters of the model are estimated using the maximum likelihood (ML) estimation approach. Reliability of a software system using Pareto type IV distribution, which is based on Non-Homogenous poisson process (NHPP) is presented through estimation procedures. Co...

Intelligent Computing and Innovation on Data Science, 2020

Web growth has been driven by a number of techniques. In massive scale processing, cloud computin... more Web growth has been driven by a number of techniques. In massive scale processing, cloud computing is the rising technology. It is a method that consists of varied software and Web-enabled services. As cloud computing grows speedily and purchasers are stringent a lot of services, the traffic on the cloud increases tremendously. Thus, managing load balance is very interesting and important research area nowadays. A decent load balancing algorithm can enhance the performance and resource utilization by dynamically distributing workload among a range of nodes within the system. This paper addresses a comprehensive summary on load balancing algorithms, challenges, and various presently offered load balancing software and its features.

International Journal of Computer Applications, 2014

Software Reliability Growth model (SRGM) is a mathematical model of how the software reliability ... more Software Reliability Growth model (SRGM) is a mathematical model of how the software reliability improves as faults are detected and repaired. The development of many SRGMs over the last several decades have resulted in the improvement of software facilitating many engineers and managers in tracking and measuring the growth of reliability. This paper proposes Burr type XII based Software Reliability growth model with time domain data. The unknown parameters of the model are estimated using the maximum likelihood (ML) estimation method. Reliability of a software system using Burr type XII distribution, which is based on Non-Homogenous Poisson process (NHPP), is presented through estimation procedures. The performance of the SRGM is judged by its ability to fit the software failure data. How good does a mathematical model fit to the data is also being calculated. To access the performance of the considered SRGM, we have carried out the parameter estimation on the real software failure datasets.

Cybernetics and Information Technologies, 2020

The goal of DevOps is to cut down the project timelines, increase the productivity, and manage ra... more The goal of DevOps is to cut down the project timelines, increase the productivity, and manage rapid development-deployment cycles without impacting business and quality. It requires efficient sprint management. The objective of this paper is to develop different sprint level project management tools for quick project level Go/No-Go decision making (using real-time projects data and machine learning), sprint estimation technique (gamified-consensus based), statistical understanding of overall project management maturity, project sentiment & perception. An attempt is made to device a model to calibrate the perception or the tone of a project culture using sentiment analysis.

International Journal of Forensic Software Engineering, 2019