Systems development with Java: experiences from a practical project course in software engineering

2002 ◽  
Author(s):  
K. Bergner ◽  
F. Huber
Keyword(s):  
Software Engineering ◽  
Systems Development ◽  
Practical Project

Multi-Agent Systems as Computational Organizations

2011 ◽  
pp. 1658-1683
Author(s):  
Franco Zambonelli ◽  
Nicholas R. Jennings ◽  
Michael Wooldridge
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Systems Development ◽  
Multi Agent Systems ◽  
Design Development ◽  
Analysis And Design ◽  
Agent Systems ◽  
Multi Agent ◽  
Traditional Approaches ◽  
System Paradigm

The multi-agent system paradigm introduces a number of new design/development issues when compared with more traditional approaches to software development and calls for the adoption of new software engineering abstractions. To this end, in this chapter, we elaborate on the potential of analyzing and architecting complex multi-agent systems in terms of computational organizations. Specifically, we identify the appropriate organizational abstractions that are central to the analysis and design of such systems, discuss their role and importance, and show how such abstractions are exploited in the context of the Gaia methodology for multi-agent systems development.

Information Systems, Software Engineering, and Systems Thinking

2011 ◽  
pp. 315-332
Author(s):  
Doncho Petkov ◽  
Denis Edgar-Nevill ◽  
Raymond Madachy ◽  
Rory O’Connor
Keyword(s):  
Information Systems ◽  
Software Engineering ◽  
Systems Thinking ◽  
Systems Approach ◽  
Past Research ◽  
Systems Development ◽  
Information Systems Development ◽  
Future Research ◽  
Systems Software ◽  
Potential Improvement

This article traces past research on the application of the systems approach to information systems development within the disciplines of information systems and software engineering. Their origins historically are related to a number of areas, including general systems theory. While potential improvement of software development practices is linked by some leading experts to the application of more systemic methods, the current state of the practice in software engineering and information systems development shows this is some way from being achieved. The authors propose possible directions for future research and practical work on bringing together both fields with systems thinking.

Security Over the Information Systems Development Cycle

2011 ◽  
pp. 113-154
Author(s):  
C. Blanco ◽  
D. Rosado ◽  
C. Gutiérrez ◽  
A. Rodríguez ◽  
D. Mellado ◽  
...  
Keyword(s):  
Information Systems ◽  
Software Engineering ◽  
Systems Development ◽  
Information Systems Development ◽  
Security Engineering ◽  
Secure Systems ◽  
Development Stages ◽  
Access Control Policies ◽  
Main Components ◽  
Definition Of

Information security is currently considered to be a crucial aspect of systems development. However it has traditionally been considered during the final stages of development, once the main components of the system have been developed and therefore provides solutions which are inappropriate for security integration. Software engineering has traditionally been separated from security engineering, and security issues have not usually been included in software engineering processes, activities, techniques, models, and so on. Furthermore, security engineering has not been aligned with information systems, and has focused rather on the definition of protocols, cryptographic algorithms, access control policies, etc. However, the scientific community is beginning to realize the importance of aligning software engineering and security engineering in order to develop more secure systems. Security in software engineering is a branch of research in which many contributions dealing with security integration from the early development stages have recently appeared. This chapter discusses some of the most interesting contributions in this area, and also provides a summary of our contributions through the development of various research lines dealing with different strategies to integrate security into information systems development as early in the development stages as is possible.

Computational Statistics of Data Science for Secured Software Engineering

2021 ◽  
pp. 81-96
Author(s):  
Raghavendra Rao Althar ◽  
Debabrata Samanta
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Language Processing ◽  
Data Science ◽  
Systems Development ◽  
Data Sources ◽  
Software Systems ◽  
Computational Statistics ◽  
Critical Dimensions ◽  
Work Done

The chapter focuses on exploring the work done for applying data science for software engineering, focusing on secured software systems development. With requirements management being the first stage of the life cycle, all the approaches that can help security mindset right at the beginning are explored. By exploring the work done in this area, various key themes of security and its data sources are explored, which will mark the setup of base for advanced exploration of the better approaches to make software systems mature. Based on the assessments of some of the work done in this area, possible prospects are explored. This exploration also helps to emphasize the key challenges that are causing trouble for the software development community. The work also explores the possible collaboration across machine learning, deep learning, and natural language processing approaches. The work helps to throw light on critical dimensions of software development where security plays a key role.

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