Three Paradigms of Computer Science

Eden, Amnon H.

doi:10.1007/s11023-007-9060-8

Cited by 62 publications

(40 citation statements)

References 22 publications

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“…Hence, we hope that any findings that we obtain in our endeavor in this context can be seen as having a significant connection to what is carried out in terms of experiments in the whole field of computing. Moreover, contrary to what was stated by some critics (e.g., "Evidence to the decline of scientific methods is found in textbooks on software engineering" [4] (p. 148), more and more attention has been devoted in SE to methodological and experimental issues, as shown by some general works by [5] and the birth of conferences and journals about these topics, like [6] and [7].…”

Section: Introductionmentioning

confidence: 85%

Rethinking Experiments in a Socio-Technical Perspective: The Case of Software Engineering

Schiaffonati

Verdicchio

2015

Philosophies

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Experiments in computing share many characteristics with the traditional experimental method, but also present significant differences from a practical perspective, due to their aim at producing software artifacts and the central role played by human actors and organizations (e.g., programmers, project teams, software houses) involved in the software development process. By analyzing some of the most significant experiments in the subfield of software engineering, we aim at showing how the conceptual framework that supports experimental methodology in this context needs an extension in a socio-technical perspective.

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Section: Introductionmentioning

confidence: 85%

Rethinking Experiments in a Socio-Technical Perspective: The Case of Software Engineering

Schiaffonati

Verdicchio

2015

Philosophies

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“…For example (Eden, 2007) [1] sets out three definitions of CS, "as a branch of mathematics (e.g., [9]), as an engineering or 'technological' discipline and as a natural science" [1]. How problem solving in SE extends beyond a theoretical (deterministic) CS paradigm (An original starting point for computing.)…”

Section: A "Technical" Problem For Software Engineeringmentioning

confidence: 99%

“…Differing claims, to a scientific base for computing are illustrated using the model's architectural "layers". Developing computing technology such as machine code which is deterministic is consistent with a theoretical paradigm underlying CS, e.g., machine code can be proven to be Turing-complete [1]. However, layers closer to the human sphere of operation, e.g., user programs, are not consistent with a purely theoretical CS paradigm [11].…”

Section: A "Technical" Problem For Software Engineeringmentioning

confidence: 99%

“…Envisaging computing technology and its development as occupying a continuum ( Figure 3) is a starting point for this work. It a strategic move to avoid extreme positions such as defining CS exclusively as theoretical and concerned with abstract objects and SE as purely "technological" [1]. Our analysis adopts a minimal position so makes no claims as to what exists, e.g., where science stops and technological development begins We are looking at a position for SE in a computing continuum (Figure 3), which in turn is facilitating a wider scientific perspective on CS.…”

Section: A "Technical" Problem For Software Engineeringmentioning

confidence: 99%

“…We outline computing as having a "nature" which is occurring within SE processes and in the "architecture" of the technological outcomes. This discussion explores a connection we see between SE the "nature" of computing and a lack of consensus in what CS is (Eden, 2007) [1]. Some constraints on adopting an empirical approach, such as the viability of applying scientific method (SM) and hypothesis testing in CS, are outlined, put into a wider context and further discussed in the fourth and last section of this paper.…”

Section: Introductionmentioning

confidence: 99%

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Machine Code and Metaphysics: A Perspective on Software Engineering

2015

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Abstract:A major, but too-little-considered problem for Software Engineering (SE) is a lack of consensus concerning Computer Science (CS) and how this relates to developing unpredictable computing technology. We consider some implications for SE of computer systems differing scientific basis, exemplified with the International Standard Organisations Open Systems Interconnection (ISO-OSI) layered architectural model. An architectural view allows comparison of computing technology components facilitating a view of computing as a continuum. For example, at one layer of computer architecture, components written in Turing-complete machine language can be seen as deterministic and consistent with a theoretical paradigm of CS. At another layer, components (applications) closer to the human sphere have been seen as non-deterministic and inconsistent with theoretical CS. We compare unpredictable development of computing technology against the cyclic legacy of technological advance and scientific discovery, and suggest that SE indicates an enabling cycle, discernible in previous scientific revolution(s), is stalled or possibly hidden. The CS consequence of divorcing technological advance from scientific consensus is particularly concerning. For example human/computing events could be seen as unpredictable virtual phenomena that somehow extend the ontology of CS. Our approach challenges practical and philosophical boundaries by investigating if applying scientific method (SM) resolves any SE/Science dichotomy. OPEN ACCESSPhilosophies 2016, 1 29

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Strategic requirements engineering for complex sustainable systems

Svetinovic¹

2012

Systems Engineering

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The development of complex sustainable systems presents a number of challenges in requirements engineering (RE). It is difficult to elicit, analyze, and specify interdisciplinary system requirements that have to be fulfilled in order to develop a complex sustainable system. This paper argues for a need for a significant shift in the underlying RE ideas and premises in order to effectively cope with RE challenges of complex sustainable systems development. We present the main requirements for the development of strategic RE methods based on a number of systems, methodological, and epistemological perspective shifts. Strategic RE paradigm shift facilitates adaptation of primarily technological system-specific RE knowledge in order to handle large scale interdisciplinary sustainability-related RE challenges. © 2012 Wiley Periodicals, Inc. Syst Eng 16: [165][166][167][168][169][170][171][172][173][174] 2013

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Three Paradigms of Computer Science

Cited by 62 publications

References 22 publications

Rethinking Experiments in a Socio-Technical Perspective: The Case of Software Engineering

Rethinking Experiments in a Socio-Technical Perspective: The Case of Software Engineering

Machine Code and Metaphysics: A Perspective on Software Engineering

Strategic requirements engineering for complex sustainable systems

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