AbstractSoftware development life cycle involves requirement analysis, design, coding, testing and implementation. Software Quality is the most important one, since the success of a Software Engineer relies on the development of failure free software. One of the main quality factors is reliability. Reliability can improve through Software Reliability Models, analyze of reliability data, proper utilization of debuggers, internal quality factors and evaluating the measurement results. Currently, there are several software reliability allocation techniques, but schedule planning and effective resource use are unavailable because they do not support multi-objective optimization. It is an effective software reliability allocation technique that ...
Software reliability models are very useful to estimate the probability of the software fail along t...
Software development managers use software quality prediction methods to determine to which modules ...
System reliability optimization is often faced with imprecise and conflicting goals such as reducing...
AbstractSoftware development life cycle involves requirement analysis, design, coding, testing and i...
This study investigates both the trade-offs among system reliability improvement, resource consumpti...
Reliability is always important in all systems but sometimes it is more important than other quality...
In the testing phrase of software development, the component with low testing costs is given higher ...
In recent times, many organizations have sought ways of improving the quality of software products d...
The role of software reliability and quality improvement is becoming more important than any other i...
Reliability optimization originally developed for hardware systems is extended to incorporate softwa...
[[abstract]]In this paper we propose an analytical approach for estimating the reliability of a comp...
A system is defined as an assembly of subsystems; each of the subsystems has its own attributes in t...
This paper examines a novel optimization technique called genetic algorithms and its application to ...
Many reliability growth models related to the concept of multi-upgrading have recently been proposed...
Abstract: Reliability allocation requires defining reliability objectives for individual subsystems ...
Software reliability models are very useful to estimate the probability of the software fail along t...
Software development managers use software quality prediction methods to determine to which modules ...
System reliability optimization is often faced with imprecise and conflicting goals such as reducing...
AbstractSoftware development life cycle involves requirement analysis, design, coding, testing and i...
This study investigates both the trade-offs among system reliability improvement, resource consumpti...
Reliability is always important in all systems but sometimes it is more important than other quality...
In the testing phrase of software development, the component with low testing costs is given higher ...
In recent times, many organizations have sought ways of improving the quality of software products d...
The role of software reliability and quality improvement is becoming more important than any other i...
Reliability optimization originally developed for hardware systems is extended to incorporate softwa...
[[abstract]]In this paper we propose an analytical approach for estimating the reliability of a comp...
A system is defined as an assembly of subsystems; each of the subsystems has its own attributes in t...
This paper examines a novel optimization technique called genetic algorithms and its application to ...
Many reliability growth models related to the concept of multi-upgrading have recently been proposed...
Abstract: Reliability allocation requires defining reliability objectives for individual subsystems ...
Software reliability models are very useful to estimate the probability of the software fail along t...
Software development managers use software quality prediction methods to determine to which modules ...
System reliability optimization is often faced with imprecise and conflicting goals such as reducing...