Optimal Release Problem Research Articles

An Imperfect Debugging Software Reliability Growth Model: Optimal Release Problems through Warranty Period based on Software Maintenance Cost Model

Software come to be an important element in recent times, from small residence hold gadgets to large machinery wishes fine software. software development is a technical oriented system where range of quantitative and qualitative duties have been completed parallel a good way to meets the needs of the consumer. Many people play a vital role within the improvement of software program product, consequently there is chance of committing errors by way of these humans and these errors becomes faults in later stages. Computing software program cost for the duration of software development can facilitate us predicting the time of release of the software. In this paper we have investigated release time of software program by way of considering the imperfect debugging software program reliability growth model and cost model.

Software Reliability Model Selection Based on Deep Learning with Application to the Optimal Release Problem

Software Reliability Model Selection Based on Deep Learning with Application to the Optimal Release Problem

Application of multi attribute utility theory in multiple releases of software

One of the important applications of software reliability models is the determination of software release time. Most of the existing studies on this topic use models based on non homogeneous Poisson process with a bounded mean value function. Multi up gradation based software reliability growth model is developed for successive release modelling and analysis. Based on this model, maximum fault removal for upgraded software and optimal release time of upgraded software are investigated as well. This paper proposes a new practical method for determining when to stop software testing considering failure intensity and cost as two factors simultaneously. This issue has been widely known as the optimal release problem of software product. The proposed new decision model based on multi-attribute utility analysis is tested on the real world data sets. In addition, the proposed decision model can help companies to make a rational decision on the optimal timing of the software.

MODELING TWO-DIMENSIONAL SOFTWARE MULTI-UPGRADATION AND RELATED RELEASE PROBLEM (A MULTI-ATTRIBUTE UTILITY APPROACH)

The today's fast-paced, competitive environment in the field of Science and Technology, demands highly reliable hardware and software in order to achieve new breakthroughs in quality and productivity. In this scenario, first release of software products includes enough features and functionality to make it useful for the customers. Later, software companies have to come up with upgradation or add-ons in their software to survive in the market through a series of releases. Each succeeding upgradation offers some innovative performance or new functionality, distinguishing itself from the past releases. In one-dimensional Software Reliability Growth Models (SRGM) researcher used one factor such as Testing-Time, Testing-Effort or Coverage, etc. but within a two-dimensional SRGM environment, the process depends on two-types of reliability growth factors like Testing-time and Testing-effort. In addition, we also consider the combined effect of bugs encountered during testing of present release and user reported bugs from the operational phase. The model developed in the paper takes into consideration the testing and the operational phase where fault removal phenomenon follows, logistic and Weibull model, respectively. The paper also comprises of formulating an optimal release problem based on Multi-Attribute Utility Theory (MAUT). Lastly, the model validation is done on real dataset of software already released in the market with successive generations.

Optimal stopping in software testing

AbstractIn this paper we address the problem of how to decide when to terminate the testing/modification process and to release the software during the development phase. We present a Bayesian decision theoretic approach by formulating the optimal release problem as a sequential decision problem. By using a non‐Gaussian Kalman filter type model, proposed by Chen and Singpurwalla (1994), to track software reliability, we are able to obtain tractable expressions for inference and determine a one‐stage look ahead stopping rule under reasonable conditions and a class of loss functions. © 2002 Wiley Periodicals, Inc. Naval Research Logistics, 2003

Dynamic release policies for software systems with a reliability constraint

We discuss the optimal release problem of computer software. A conditional non-homogeneous Poisson process model is used lo describe the software reliability growth behavior. By formulating with Markov decision programming, we show that, to minimize the total discounted cost, the optimal release policy is threshold-type, which is easy to obtain and to implement. It is then extended to the model with a constraint on the system reliability, for which a similar threshold-type control policy is proved to be optimal too.

Dynamic release policies for software systems with a reliability constraint

We discuss the optimal release problem of computer software. A conditional non-homogeneous Poisson process model is used to describe the software reliability growth behavior. By formulating with Markov decision programming, we show that, to minimize the total discounted cost, the optimal release policy is threshold-type, which is easy to obtain and to implement. It is then extended to the model with a constraint on the system reliability, for which a similar threshold-type control policy is proved to be optimal too.

Optimal Software Testing-Effort Allocation Policies for Testing Process Control based on an Optimal Release Problem

Optimal Software Testing-Effort Allocation Policies for Testing Process Control based on an Optimal Release Problem

Testing-Effort Allocation Policies under Software Cost Constraints Based on an Optimal Release Problem with Delivery Delay

Testing-Effort Allocation Policies under Software Cost Constraints Based on an Optimal Release Problem with Delivery Delay

Testing-Effort Allocation Policies under Software Cost Constraints based on an Optimal Release Problem

Testing-Effort Allocation Policies under Software Cost Constraints based on an Optimal Release Problem