Fundamentals of Component and System Reliability and Review of Software Reliability

2007 ◽  
pp. 1-77
Keyword(s):  
Software Reliability ◽  
System Reliability

Multi-layer software reliability for unreliable hardware

2015 ◽  
Vol 57 (3) ◽  
Author(s):  
Muhammad Shafique ◽  
Philip Axer ◽  
Christoph Borchert ◽  
Jian-Jia Chen ◽  
Kuan-Hsun Chen ◽  
...  
Keyword(s):  
Operating System ◽  
Programming Language ◽  
Software Reliability ◽  
System Reliability ◽  
Design Flow ◽  
High Degree

AbstractThis paper presents a multi-layer software reliability approach that leverages multiple software layers (e. g., programming language, compiler, and operating system) to improve the overall system reliability considering unreliable or partly-reliable hardware. We present a comprehensive design flow that integrates multiple software layers while accounting for the knowledge from lower hardware layers. We show how multiple software layers synergistically operate to achieve a high degree of reliability.

Basis for non-propagation domains, their transformations and their impact on software reliability

2017 ◽  
Vol 232 (6) ◽  
pp. 535-558
Author(s):  
Chetan Mutha ◽  
Carol Smidts
Keyword(s):  
Fault Tolerance ◽  
Mechanical System ◽  
Software Design ◽  
Software Reliability ◽  
Interval Arithmetic ◽  
System Reliability ◽  
Fault Propagation ◽  
Multiple Functions ◽  
Flat Part ◽  
Propagation Analysis

Fault propagation analysis is an important step in determining system reliability and defining fault tolerance strategies. Typically, in the early software design phases, the propagation probability for a fault is assumed to be one. However, the assumption that faults will always propagate highly underestimates reliability, and valuable resources may be wasted on fixing faults that may never propagate. To determine the fault propagation probability, a concept of flat parts is introduced. A flat part is a property of a function; when multiple functions containing flat parts interact with each other, these flat parts undergo a transformation. During this transformation, the flat parts may be killed, preserved, or new flat parts may be generated. Interval arithmetic-based rules to determine such flat part transformations are introduced. A flat part-based propagation analysis can be used to determine the reliability of a software system, or software-driven mechanical system expressed functionally. In addition, the information obtained through flat part-based propagation analysis can be used to add sensors within the flat parts to increase the probability of fault detection, thus increasing the robustness of the system under study.

scholarly journals Software Engineering Methods to Improve the Design of Software Reliability Systems: Roadmap

2020 ◽  
Vol 55 (3) ◽  
Author(s):  
Idrees S. Kocher
Keyword(s):  
Software Engineering ◽  
Case Studies ◽  
Software Quality ◽  
Software Reliability ◽  
System Reliability ◽  
Software Systems ◽  
Reliability Engineering ◽  
Major Focus ◽  
Reliability Systems

The reliability of software is founded on the development, testing, evaluation and maintenance of software systems. In recent years, researchers have been come to see software reliability as a major focus. This is due to the fact that reliability is central to all software quality concepts. System Reliability Engineering is the study of the processes and results of software systems in relation to the basic requirements of users. This paper provides an overview (roadmap) of current developments in software reliability metrics, modeling and operational profiles. It outlines several software engineering methods to achieve reasonable system reliability. Finally, failure metrics are considered based on feedback collected from users after releasing the software and case studies of detected failures. Consequently, numbers and types of failures will be recorded from the users feedback.

scholarly journals Bug reduction with reliability factors using hybrid reliable model

2017 ◽  
Vol 7 (1.1) ◽  
pp. 397 ◽  
Author(s):  
T Vijaya Saradhi ◽  
M Manisha ◽  
L Vijaya Lakshmi ◽  
K Gowtham
Keyword(s):  
Hybrid Model ◽  
Software Reliability ◽  
System Reliability ◽  
Hardware Reliability ◽  
Reliable Model ◽  
Different Types ◽  
The One

Software reliability is the probability that software will not cause the failure of a product for a specified time under specified conditions. Software Reliability is also an important factor affecting system reliability. Software reliability is different compared to hardware reliability. Hardware reliability is the one which deals with manufacturing something which is related to external features of the system. Reliability is one of the major problem faced by the systems. Hence, there are some factors which make the system much reliable. As there are different types of software reliable models we analyses each of its performance and also the factors which are affecting them. In this paper we propose a hybrid model which is used for the reduction in the count of bugs and also we implement the reliability factors for that model. Therefore, this model reduces number of bugs. As we know reliability is inversely proportional to the number ofbugs and therefore by using this model we are increasing reliability.

ON USING SOFT COMPUTING TECHNIQUES IN SOFTWARE RELIABILITY ENGINEERING

2006 ◽  
Vol 13 (01) ◽  
pp. 61-72 ◽  
Author(s):  
HENRIK MADSEN ◽  
POUL THYREGOD ◽  
BERNARD BURTSCHY ◽  
GRIGORE ALBEANU ◽  
FLORIN POPENTIU
Keyword(s):  
Soft Computing ◽  
Software Reliability ◽  
System Reliability ◽  
Time Series Prediction ◽  
Software Project ◽  
Reliability Engineering ◽  
Soft Computing Techniques ◽  
Software Fault ◽  
Computing Framework ◽  
Data Collections

Previous investigations have shown the importance of evaluating computer performances and predicting the system reliability. This paper considers soft computing techniques in order to be used for software fault diagnosis, reliability optimization and for time series prediction during the software reliability analysis. It is shown that the study of the data collections during a software project development can be done within a soft computing framework.

The effects of relative system reliability and prioritization on alarm reaction patterns

2006 ◽  
Author(s):  
Elizabeth T. Newlin ◽  
Ernesto A. Bustamante ◽  
James P. Bliss ◽  
Randall D. Spain ◽  
Corey K. Fallon
Keyword(s):  
System Reliability ◽  
Alarm Reaction ◽  
Reaction Patterns

Editorial: Software reliability and metrics

1990 ◽  
Vol 5 (1) ◽  
pp. 2
Author(s):  
Barbara Kitchenham
Keyword(s):  
Software Reliability
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