Methodological Issues in the Evaluation of System Analysis and Design Techniques

Author(s):  
Andrew Gemino

This chapter examines methodological issues arising in the comparison of systems analysis and design techniques. An argument is made to establish a foundation of research and more broadly consider the management of scope in analysis and design research. A discussion of why and how we evaluate techniques is provided. A generalized approach combining both deductive and inductive reasoning is presented and a combined grammar-based and cognitive-based approach to comparison is discussed. In addition, concepts from Friedman’s economic methodology are applied in the choice between alternative ontologies that underlie grammar-based comparisons. The chapter concludes with a set of nine questions that researchers should consider when designing and developing research in the evaluation of systems analysis and design techniques.

2017 ◽  
Vol 21 (4) ◽  
pp. 693-717 ◽  
Author(s):  
Surendra Sarnikar ◽  
Amit V. Deokar

Purpose This paper presents a design approach for process-based knowledge management (PKM) systems that can support knowledge-intensive processes where effective task execution is highly reliant on the knowledge and expertise of participants executing the tasks. The proposed design approach includes design methods and kernel theories governing the design of PKM systems and can also be easily integrated with existing systems analysis and design techniques. Design/methodology/approach The design science research methodology is used to design and develop the artifact which includes the overall PKM design approach. Information systems design theory is used as a high-level framework to develop and structure the design approach. Relevant design methods and behavioral theories are reviewed to identify kernel theories that guide the design and development of PKM systems. The design approach consists of meta-requirements for PKM systems and design processes to achieve the meta-requirements. A feasibility study is conducted to evaluate the feasibility of the proposed approach. Findings The design approach presented in this paper can guide system analysts and system developers in the design of knowledge management systems for supporting knowledge-intensive processes. The paper also includes a comprehensive design theory for PKM systems consisting of meta-requirements and a synthesis of various kernel theories into actionable design procedures. The proposed procedures include knowledge requirements modeling, knowledge flows modeling and knowledge and process performance modeling procedures. The feasibility study indicates that the PKM approach can be more useful and effective than solely using unified modeling language (UML)-based systems analysis and design techniques for the design of PKM systems. Research limitations/implications An implication to information systems design research is the feasibility of developing a specialized design approach that incorporates significant domain knowledge to solve complex information system design problems. An implication to practice is the significant potential to improve productivity and effectiveness of systems analysts and designers in developing PKM systems. A limitation is the small sample size of the feasibility study used to evaluate the ease of use and utility of the design approach. Originality/value The study makes a unique contribution by proposing a design approach that integrates business process and knowledge management considerations. The approach is particularly valuable because of the focus on integration with existing systems analysis and design techniques, thus allowing for easier adoption.


Author(s):  
Ram B. Misra ◽  
Doncho Petkov ◽  
Olga Petkova

In this chapter, the authors analyze recent developments linking design science to systems analysis and design research and the growing area of the work system method proposed by Steven Alter. As a result, possible directions in a research agenda related to the incorporation of work system method ideas in systems analysis and design are provided. These follow the conceptual framework for IS research developed in 2004 by Hevner, March, Park and Ram.


Author(s):  
Özlem Albayrak

This study is an enhancement of previous research presented at the 2nd AIS SIGSAND European Symposium on Systems Analysis and Design and its improved version presented at the 3rd National Software Engineering Symposium (UYMS) 2007. The AIS-SIGSAND 2007 study, the first phase, was part of ongoing research by which systems analysis and design-teaching experiences related to course evaluation items were enlightened. This study summarizes previous studies and introduces new findings suggested by those studies that relate to teaching challenges on systems analysis and design in software engineering. The first challenge studied is to decide a suitable evaluation item set in undergraduate level system analysis and design courses for software engineers. The second challenge relates to implicit assumptions made by software engineers during the analysis phase. Based on pre-interview, test, and post-interview data, the study presents a snapshot of an analysis in software engineering regarding implicit assumptions made by analysts. Related to these challenges, the study concludes with proposals on systems analysis and design education.


Author(s):  
Islay Davies ◽  
Peter Green ◽  
Simon Milton ◽  
Michael Rosemann

High-level ontologies provide a model of reality and are of increasing popularity for the evaluation of modeling methods. Most of the common modeling methods have been studied using ontologies such as the BWW representation model and Chisholm’s ontology. However, at this stage only limited guidance is provided for the selection and evaluation of the appropriate ontology. The aim of this chapter is to propose meta-models for analyzing, comparing, and engineering ontologies. It discusses a methodology using extracts of meta-models for two well-known ontologies that had been used previously in Systems Analysis and Design research. The approach provides a theoretical analysis technique for evaluating these ontologies according to their equivalence, depth of structure, and comprehensiveness of scope.


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