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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2015 Vol.3(1): 17-21 IS4SN: 2301-3559
DOI: 10.7763/LNSE.2015.V3.157

Increase Software Dependability via AOP-Based Runtime Adaptation

Shan Tang, Liping Li, and Bin Zhu
Abstract—Increasingly complex application systems operating in dynamic environments are forcing researchers to find ways of developing and evolving dependable software systems dynamically. Runtime Adaptation is a critical feature for dependable application systems to cope with changes in the operating conditions and to meet the required dependability. AOP can improve the modularity of self-adaptive software by encapsulating the crosscutting concerns into aspects cleanly. Therefore, in this paper we take the advantages of AOP and self-adaptive technique, and propose an AOP-based dynamic adaptation approach. We show how to increase system dependability by runtime adaptation from the perspective of system internal state and external environment. Meanwhile, we illustrate our approach by applying it to a simplified on-line train ticket reservation system.

Index Terms—AOP, dynamic adaptation, dependable software, separation of concerns.

The authors are with Shanghai Second Polytechnic University, China (e-mail: shantang@foxmail.com).


Cite: Shan Tang, Liping Li, and Bin Zhu, "Increase Software Dependability via AOP-Based Runtime Adaptation," Lecture Notes on Software Engineering vol. 3, no. 1, pp. 17-21, 2015.

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