This paper presents a quantitative approach to software reliability and content relevance definitions validated by the systems’ potential reliability law. Thus it is argued for the unified math nature or quantitative paradigm of software reliability and content relevance. This paradigm integrates subject matter data and quantitative software reliability metrics and is viewed as a foundation of ...

Software aging often affects the performance of a software system and eventually causes it to fail. A novel approach to handle transient software failures is called software rejuvenation which can be regarded as a preventive and proactive solution that is particularly useful for counteracting the phenomenon of software aging. In this paper, we consider the optimal software rejuvenation policy m...

Testing-time when a change of a stochastic characteristic of the software failure-occurrence time or software failure-occurrence time-interval is observed is called change-point. It is said that effect of the change-point on the software reliability growth process influences on accuracy for software reliability assessment based on a software reliability growth model (SRGM). We propose an SRGM w...

In this paper we address the development, testing, and evaluation schemes for software reliability, and the integration of these schemes into a unified and consistent paradigm. Specifically, techniques and tools for the three phases of software reliability engineering will be described. The three phases are (1) modeling and analysis, (2) design and implementation, and (3) testing and measuremen...

Software Reliability Prediction techniques are Along with the existing 30 software measures, nine more measures are identified which results in the best performance of the software application. Predicting the reliability of software systems, failure data should be measured by different ways during the development process and its execution phases. This paper proposes a structure of reliability p...

Reliability is one of the highly significant quality indicators of object oriented software. Its proper measurement or evaluation, constantly facilitate and improve the software development process. On the other hand, reliability has always been a mysterious theory and its truthful measurement or evaluation is a complex exercise. Researchers and practitioners have always argued that reliability...

Software reliability has become one of the main issues for software developers. Aggregating components into software is a perfect approach to construct software with the maturity of component market. How to analyze software reliability from the reliabilities of its components and architecture should be answered. However, software in most of the proposed reliability analysis methods is static, w...

A software reliability growth model is one of the fundamental techniques used to assess software reliability quantitatively. The software reliability growth model is required to have a good performance in terms of goodness-of-fit, predictability, and so forth. A number of analytical models have been proposed during the past three decades for assessing the reliability of the software system. In ...

Most of today’s Safety Instrumented Systems (SIS) are hardware and software integrated systems. In these systems, failures can occur in both hardware and software. Hardware failures and their effects have been studied extensively in the literature. However, the methods and results dealing with hardware failure are not directly applicable for software reliability modeling, due to the difference ...

Software Reliability is defined as the probability of free-failure operation for a specified period of time in a specified environment. Software Reliability Growth models (SRGM) have been developed to estimate software reliability measures such as number of remaining faults, software failure rate and Software Reliability. Imperfect debugging models are considered in these models. However, most ...