Software design issues: a very large information systems perspective

1989 ◽  
Author(s):  
G. B. Williams ◽  
C. Mui ◽  
W. Alagappan ◽  
B. B. Johnson
Keyword(s):  
Information Systems ◽  
Software Design ◽  
Design Issues ◽  
Systems Perspective

Software design issues: a very large information systems perspective

1989 ◽  
Vol 14 (3) ◽  
pp. 238-240 ◽  
Author(s):  
Gerald B. Williams ◽  
Chunka Mui ◽  
Vairam Alagappan ◽  
Bruce B. Johnson
Keyword(s):  
Information Systems ◽  
Software Design ◽  
Design Issues ◽  
Systems Perspective

Agent Mediated Code Comprehension: A Cognitive Challenge

2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Ram Gopal Gupta ◽  
Bireshwar Dass Mazumdar ◽  
Kuldeep Yadav
Keyword(s):  
Information Systems ◽  
Software Design ◽  
Business Processes ◽  
Software Agents ◽  
Cognitive Model ◽  
Cognitive Models ◽  
Software Market ◽  
Computing Paradigm ◽  
Cognitive Challenge ◽  
Software Code

The rapidly changing needs and opportunities of today’s global software market require unprecedented levels of code comprehension to integrate diverse information systems to share knowledge and collaborate among organizations. The combination of code comprehension with software agents not only provides a promising computing paradigm for efficient agent mediated code comprehension service for selection and integration of inter-organizational business processes but this combination also raises certain cognitive issues that need to be addressed. We will review some of the key cognitive models and theories of code comprehension that have emerged in software code comprehension. This paper will propose a cognitive model which will bring forth cognitive challenges, if handled properly by the organization would help in leveraging software design and dependencies.

scholarly journals A Case Studies Approach to the Analysis of Profiling and Framing Structures for Pervasive Information Systems

2012 ◽  
Vol 4 (2) ◽  
pp. 1-18 ◽  
Author(s):  
José Eduardo Fernandes ◽  
Ricardo J. Machado ◽  
João Á. Carvalho
Keyword(s):  
Information Systems ◽  
Case Studies ◽  
Software Design ◽  
Expert Knowledge ◽  
Structural Approach ◽  
Technological Changes ◽  
Design And Development ◽  
Structure Approach ◽  
Model Based ◽  
Widespread Adoption

Model-Based/Driven Development (MDD) constitutes an approach to software design and development that potentially contributes to: concepts closer to domain and reduction of semantic gaps, automation and less sensitivity to technological changes, and the capture of expert knowledge and reuse. The widespread adoption of pervasive technologies as basis for new systems and applications lead to the need of effectively design pervasive information systems that properly fulfil the goals they were designed for. This paper presents a profiling and framing structure approach for the development of Pervasive Information Systems (PIS). This profiling and framing structure allows the organization of the functionality that can be assigned to computational devices in a system and of the corresponding development structures and models, being. The proposed approach enables a structural approach to PIS development. The paper also presents two case studies that allowed demonstrating the applicability of the approach.

Web personalization research: an information systems perspective

2013 ◽  
Vol 15 (3) ◽  
pp. 254-268 ◽  
Author(s):  
Vinodh Krishnaraju ◽  
Saji K. Mathew
Keyword(s):  
Information Systems ◽  
Web Personalization ◽  
Systems Perspective

An Accounting Information Systems Perspective on Data Analytics and Big Data

2017 ◽  
Vol 31 (3) ◽  
pp. 101-114 ◽  
Author(s):  
Esperanza Huerta ◽  
Scott Jensen
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Data Analytics ◽  
Accounting Information ◽  
Security Requirements ◽  
Future Research ◽  
Accounting Information Systems ◽  
Systems Perspective ◽  
Analytic Skills

ABSTRACT Forty-six academics and practitioners participated in the second Journal of Information Systems Conference to discuss data analytics and Big Data from an accounting information systems perspective. The panels discussed the evolving role of technology in accounting, privacy within the domain of Big Data, and people and Big Data. Throughout all three panels, several topics emerged that impact all areas of accounting—developing enhanced analytical and data handling skills; evaluating privacy, security requirements, and risks; thinking creatively; and assessing the threat of automation to the accounting profession. Other topics were specific to a segment of the profession, such as the growing demand for privacy compliance audits and the curriculum adjustments necessary to develop data analytic skills. This commentary synthesizes and expands the discussions of the conference panels and suggests potential areas for future research.

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