Teaching Computer Programing as Knowledge Transfer: Some Impacts on Software Engineering Productivity

Many software organizations have a reputation for producing expensive, low-quality software systems. This results from the inherent complexity of software itself as well as the chaotic organization of developers building these systems. Therefore, we set a stage for software development based on social software for knowledge and learning management to support reuse in software engineering as well as knowledge sharing in and between projects. In the RISE (Reuse in Software Engineering) project, we worked with several German SMEs to develop a system for the reuse of software engineering products such as requirement documents. The methodology and technology developed in the RISE project makes it possible to share knowledge in the form of software artifacts, experiences, or best practices based on pedagogic approaches. This chapter gives an overview of the reuse of knowledge and so-called Learning Components in software engineering projects and raises several requirements one should keep in mind when building such systems to support knowledge transfer and reuse.

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Riki

Open Source for Knowledge and Learning Management ◽

10.4018/978-1-59904-117-9.ch003 ◽

2011 ◽

pp. 52-121 ◽

Cited By ~ 7

Author(s):

Jörg Rech ◽

Eric Ras ◽

Björn Decker

Keyword(s):

Software Engineering ◽

Knowledge Transfer ◽

Best Practices ◽

Software Development ◽

Knowledge Sharing ◽

Social Software ◽

Software Systems ◽

Engineering Project ◽

Software Artifacts ◽

Engineering Projects

Many software organizations have a reputation for producing expensive, low-quality software systems. This results from the inherent complexity of software itself as well as the chaotic organization of developers building these systems. Therefore, we set a stage for software development based on social software for knowledge and learning management to support reuse in software engineering as well as knowledge sharing in and between projects. In the RISE (Reuse in Software Engineering) project, we worked with several German SMEs to develop a system for the reuse of software engineering products such as requirement documents. The methodology and technology developed in the RISE project makes it possible to share knowledge in the form of software artifacts, experiences, or best practices based on pedagogic approaches. This chapter gives an overview of the reuse of knowledge and so-called Learning Components in software engineering projects and raises several requirements one should keep in mind when building such systems to support knowledge transfer and reuse.

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Collaborative knowledge transfer via Wiki: A project based learning approach in software engineering

2014 International Conference on Interactive Collaborative Learning (ICL) ◽

10.1109/icl.2014.7017785 ◽

2014 ◽

Cited By ~ 4

Author(s):

Jorg Abke ◽

Carolin Gold ◽

Nina Kalberer ◽

Martina Kuhn

Keyword(s):

Software Engineering ◽

Knowledge Transfer ◽

Project Based Learning ◽

Learning Approach ◽

Collaborative Knowledge

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Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

Behavioral and Brain Sciences ◽

10.1017/s0140525x19003017 ◽

2020 ◽

Vol 43 ◽

Author(s):

Valerie F. Reyna ◽

David A. Broniatowski

Keyword(s):

Decision Making ◽

Software Engineering ◽

Systems Engineering ◽

Evidence Based ◽

Extensive Literature ◽

Trace Theory ◽

Fuzzy Trace Theory ◽

Abstract Representations ◽

Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

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