NDLI: Analyzing failure mechanism for complex software-intensive systems

Content Provider	IEEE Xplore Digital Library
Author	Li Luyi Lu Minyan
Copyright Year	2015
Description	Author affiliation: Beihang Univ., Beijing, China (Li Luyi; Lu Minyan)
Abstract	With the rapid development of computer science and technology, software-intensive systems have been widely adopted and become much more complex than ever before. For example, the lines of code in the avionics of the fighter plane F-35 are as high as 500 million as estimated. With the increasing complexity of these complex software-intensive systems, some new features emerge, bringing new challenges to the assurance of software dependability, namely: Logical complexity: With the increasing lines of code and the trend of modularization, interactions between modules increase, making it difficult to control and predict the behavior brought by these interactions. Research indicates that more and more failures occur because of exceptional interactions within a system. Boundary erosion: The interaction between software and peripheral hardware in complex software-intensive systems becomes so frequent and complicated that the boundary of software has been eroded by peripheral environments. Investigation shows that failures caused by abnormal interaction behavior between software and peripheral hardware have taken a significant portion of total system failures. Longevity: Complex missions require these systems to operate during a long life cycle, during which the system has to fight against internal faults, external attacks and evolve to adapt to the environment but remains quasi-stable, which requires more attention on runtime characteristics of the system that may cause failure, such as exceptional runtime data stream.
Starting Page	57
Ending Page	58
File Size	54690
Page Count	2
File Format	PDF
e-ISBN	9781509019441
DOI	10.1109/ISSREW.2015.7392040
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Runtime Biological system modeling Failure analysis Feature extraction Software Hardware
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Constructing runtime models of complex software-intensive systems for analysis of failure mechanism

Simulating A Complex Software System

Analyzing sensitivity of code execution efficiency to software and hardware parameters

Validation of Temporal Simulation Models of Complex Real-Time Systems

Increasing Dependability of Component-Based Software Systems by Online Failure Prediction (Short Paper)

A software environment for simulators suitable for complex biological analysis

Hardware-software analysis of pole model features

A feature-oriented modeling approach for embedded product line engineering

Analyzing models of computation for software defined radio applications

Analyzing failure mechanism for complex software-intensive systems

Similar Documents

Constructing runtime models of complex software-intensive systems for analysis of failure mechanism

Simulating A Complex Software System

Analyzing sensitivity of code execution efficiency to software and hardware parameters

Validation of Temporal Simulation Models of Complex Real-Time Systems

Increasing Dependability of Component-Based Software Systems by Online Failure Prediction (Short Paper)

A software environment for simulators suitable for complex biological analysis

Hardware-software analysis of pole model features

A feature-oriented modeling approach for embedded product line engineering

Analyzing models of computation for software defined radio applications

Analyzing failure mechanism for complex software-intensive systems