Towards architecture-level middleware-enabled exception handling of component-based systems

JAVASCRIPT ASYNCHRONOUS PROGRAMMING

HUE UNIVERSITY JOURNAL OF SCIENCE TECHNIQUES AND TECHNOLOGY ◽

10.26459/hueuni-jtt.v128i2b.5104 ◽

2019 ◽

Vol 128 (2B) ◽

pp. 5-16

Author(s):

Tran Thanh Luong ◽

Le My Canh

Keyword(s):

Design Patterns ◽

Source Code ◽

Object Oriented ◽

Exception Handling ◽

Code Smells ◽

Asynchronous Programming ◽

Event Driven ◽

Programming Patterns ◽

The Impact

JavaScript has become more and more popular in recent years because its wealthy features as being dynamic, interpreted and object-oriented with first-class functions. Furthermore, JavaScript is designed with event-driven and I/O non-blocking model that boosts the performance of overall application especially in the case of Node.js. To take advantage of these characteristics, many design patterns that implement asynchronous programming for JavaScript were proposed. However, choosing a right pattern and implementing a good asynchronous source code is a challenge and thus easily lead into less robust application and low quality source code. Extended from our previous works on exception handling code smells in JavaScript and exception handling code smells in JavaScript asynchronous programming with promise, this research aims at studying the impact of three JavaScript asynchronous programming patterns on quality of source code and application.

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Information technology. Programming languages. Fortran. Floating-point exception handling

10.3403/02301024 ◽

2001 ◽

Keyword(s):

Information Technology ◽

Programming Languages ◽

Exception Handling ◽

Floating Point

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Exception Handling in Fortran

ACM SIGPLAN Fortran Forum ◽

10.1145/2980025.2980028 ◽

2016 ◽

Vol 35 (2) ◽

pp. 24-27

Author(s):

Van Snyder

Keyword(s):

Exception Handling

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Development of an integrated demand-supply balancing system for supply chain exception handling

International Journal of Information Systems and Change Management ◽

10.1504/ijiscm.2014.065059 ◽

2014 ◽

Vol 7 (1) ◽

pp. 70

Author(s):

Li Chih Wang ◽

Chen Yang Cheng

Keyword(s):

Supply Chain ◽

Exception Handling

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A Two Phases Self-healing Framework for Service-oriented Systems

ACM Transactions on the Web ◽

10.1145/3450443 ◽

2021 ◽

Vol 15 (2) ◽

pp. 1-25

Author(s):

Amal Alhosban ◽

Zaki Malik ◽

Khayyam Hashmi ◽

Brahim Medjahed ◽

Hassan Al-Ababneh

Keyword(s):

Web Services ◽

A Priori ◽

Fault Management ◽

Service Selection ◽

Exception Handling ◽

Self Healing ◽

Service Oriented Architectures ◽

Service Oriented ◽

Improved Performance ◽

High Level

Service-Oriented Architectures (SOA) enable the automatic creation of business applications from independently developed and deployed Web services. As Web services are inherently a priori unknown, how to deliver reliable Web services compositions is a significant and challenging problem. Services involved in an SOA often do not operate under a single processing environment and need to communicate using different protocols over a network. Under such conditions, designing a fault management system that is both efficient and extensible is a challenging task. In this article, we propose SFSS, a self-healing framework for SOA fault management. SFSS is predicting, identifying, and solving faults in SOAs. In SFSS, we identified a set of high-level exception handling strategies based on the QoS performances of different component services and the preferences articled by the service consumers. Multiple recovery plans are generated and evaluated according to the performance of the selected component services, and then we execute the best recovery plan. We assess the overall user dependence (i.e., the service is independent of other services) using the generated plan and the available invocation information of the component services. Due to the experiment results, the given technique enhances the service selection quality by choosing the services that have the highest score and betters the overall system performance. The experiment results indicate the applicability of SFSS and show improved performance in comparison to similar approaches.

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