DCSEDec 1, 2015

A Multi-Agent Framework for Testing Distributed Systems

arXiv:1512.00313v126 citations
Originality Incremental advance
AI Analysis

This addresses the problem of expensive and time-consuming software testing for developers and engineers working on distributed systems, though it appears incremental as it builds on existing multi-agent approaches.

The paper tackles the high cost and complexity of testing distributed systems by proposing a novel multi-agent framework, validated through a web-based application case study to automate testing and enhance reliability within acceptable cost and time constraints.

Software testing is a very expensive and time consuming process. It can account for up to 50% of the total cost of the software development. Distributed systems make software testing a daunting task. The research described in this paper investigates a novel multi-agent framework for testing 3-tier distributed systems. This paper describes the framework architecture as well as the communication mechanism among agents in the architecture. Web-based application is examined as a case study to validate the proposed framework. The framework is considered as a step forward to automate testing for distributed systems in order to enhance their reliability within an acceptable range of cost and time.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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