Flexible ILE Development: Case Studies of an Agent-Based Software Engineering Approach

While many Software Engineering (SE) and Computer Science (CS) textbooks make use of case studies to introduce difference concepts and methods, the case studies introduced by these texts focus on a specific life-development phase or a particular topic within software engineering object-oriented design and implementation or requirements analysis and specification. Moreover, these case studies usually do not come with instructor guidelines on how to adopt the introduced material to the instructor’s teaching style or to the particular level of the class or students in the class. The DigitalHome Case Study aims at addressing these shortcomings by providing a comprehensive set of artifacts associated with the full software development life-cycle. The project provides an extensive set of case study modules with exercises for teaching different topics in software engineering and computer science, as well as guidance for instructors on how to use these case modules. In this chapter, the authors motivate the use of the case study approach in teaching SE and CS concepts. They provide a description of the DigitalHome case study and the associated artifacts and case modules. The authors also report on the use of the developed material.

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Digital Home

Computer Systems and Software Engineering ◽

10.4018/978-1-5225-3923-0.ch051 ◽

2017 ◽

pp. 1284-1299

Author(s):

Salamah Salamah ◽

Massood Towhidnejad ◽

Thomas Hilburn

Keyword(s):

Software Engineering ◽

Computer Science ◽

Case Studies ◽

Teaching Style ◽

Object Oriented Design ◽

Study Approach ◽

Design And Implementation ◽

Development Life Cycle ◽

Software Development Life Cycle

While many Software Engineering (SE) and Computer Science (CS) textbooks make use of case studies to introduce difference concepts and methods, the case studies introduced by these texts focus on a specific life-development phase or a particular topic within software engineering object-oriented design and implementation or requirements analysis and specification. Moreover, these case studies usually do not come with instructor guidelines on how to adopt the introduced material to the instructor's teaching style or to the particular level of the class or students in the class. The DigitalHome Case Study aims at addressing these shortcomings by providing a comprehensive set of artifacts associated with the full software development life-cycle. The project provides an extensive set of case study modules with exercises for teaching different topics in software engineering and computer science, as well as guidance for instructors on how to use these case modules. In this chapter, the authors motivate the use of the case study approach in teaching SE and CS concepts. They provide a description of the DigitalHome case study and the associated artifacts and case modules. The authors also report on the use of the developed material.

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Designing Agent-Based Process Systems-Extending the OPEN Process Framework

Intelligent Agent Software Engineering ◽

10.4018/978-1-59140-046-2.ch008 ◽

2011 ◽

pp. 160-190 ◽

Cited By ~ 12

Author(s):

J. Debenham ◽

B. Henderson-Sellers

Keyword(s):

Software Development ◽

Case Studies ◽

Agent Based ◽

Process Systems ◽

Development Methodology ◽

Process Framework ◽

Open Process ◽

Object Technology ◽

Additional Process ◽

Agent Orientation

Originally a development methodology targeted at object technology, the OPEN Process Framework (OPF) is found to be a successful basis for extensions that support agent-oriented software development. Here we describe the process components necessary to agent-oriented support and illustrate the extensions by means of two small case studies that illustrate the extensions by means of two small case studies that illustrate both task-driven processes and goal-driven processes. The additional process components for Tasks and Techniques are all generated from the OPF’s metamodel, which gives the OPF its flexibility and tailorability to a wide variety of situations—here agent-orientation.

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Engineering AI Systems

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Artificial Intelligence Paradigms for Smart Cyber-Physical Systems ◽

10.4018/978-1-7998-5101-1.ch001 ◽

2021 ◽

pp. 1-19 ◽

Cited By ~ 1

Author(s):

Jan Bosch ◽

Helena Holmström Olsson ◽

Ivica Crnkovic

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Data Quality ◽

Case Studies ◽

Research Agenda ◽

Production Quality ◽

Research Community ◽

Design Methods ◽

Engineering Approach ◽

Quality Design

Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in industry. However, based on well over a dozen case studies, we have learned that deploying industry-strength, production quality ML models in systems proves to be challenging. Companies experience challenges related to data quality, design methods and processes, performance of models as well as deployment and compliance. We learned that a new, structured engineering approach is required to construct and evolve systems that contain ML/DL components. In this chapter, the authors provide a conceptualization of the typical evolution patterns that companies experience when employing ML as well as an overview of the key problems experienced by the companies that they have studied. The main contribution of the chapter is a research agenda for AI engineering that provides an overview of the key engineering challenges surrounding ML solutions and an overview of open items that need to be addressed by the research community at large.

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