On this aspect of agent-based SDLC performance, both approaches are limited in terms of their applicability and scalability. The reliance on heuristics can only go so far with the embedding of business, technical and organizational elements into the overall structure of an SDLC methodology (Kumar, Goyal, 2011). The reliance on an agent-based model fits well with the development of modules that are designed to align with these innately unquantifiable aspects of the context of an SDLC project, and further, the use of the completed application. Web Services is more utilitarian in its definition of functionality and its need to be pervasive and accessible as an inherent design criterion (Maamar, Mansoor, 2003). This utilitarian approach to defining Web Services is in contrast to the highly specified configured parameters of an agent-based approach to SDLC-oriented heuristics (Kumar, Goyal, 2011). While each has its unique strengths and must be selectively applied base don the business objective of the software being developed, each need to make significant gains in quality management and self-optimization before these technologies will be used more pervasively in enterprise software development.
Both technologies continue to make progress towards the objective of being self-optimizing yet there is still the need for aligning intelligent agents to specific SDLC requirements and Web Services as a state engine layer across the entire...
These differences in approaches also point to the nascent use of autonomic computing to ensure self-configuration, self-optimization, self-healing and self-protection is attained throughout the intelligent agent lifecycle and its integration to the SDLC framework (Kumar, Goyal, 2011). In comparable terms the operating modes of agentification, identification, correspondence, notification and realization are within the Web Service architecture used for agent-based SDLC development (Maamar, Mansoor, 2003). Both of these approaches also rely on an intelligent state engine that can provide and predict the need for specific types and approaches to decision making based on the SDLC requirements. Both however are still in their formative approaches to defining the overall structure and approach to managing integration with specific business rules and requirements.
References
Kumar, A., & Goyal, V. (2011). Software requirement analysis enhancements by prioritizing requirement attributes using rank based agents. International Journal of Computer Science and Information Security,, 9(8), Retrieved from http://www.docstoc.com/docs/93385123/Software-Requirement-Analysis-Enhancements-by-Prioritizing-Requirement-Attributes-Using-Rank-Based-Agents
Maamar, Z., & Mansoor, W. (2003). Design and development of a software agent-based and mobile service-oriented…
