Software engineering as a scientific and engineering discipline

Lavrishcheva, E. M.

doi:10.1007/s10559-008-9010-3

Cited by 8 publications

(11 citation statements)

References 2 publications

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“…As Computing is a very wide area, including computer Science, Computer Engineering, Software Engineering and Information Systems, in what follows, we will concentrate on Software Engineering, SE. Classification of the issues of the SE discipline into Engineering and Scientific was proposed by [12] and [13] with two different kinds of objects of study: problems of building new software artefacts in Engineering, and the theoretical basis of the SE in Science.…”

Section: Characteristics Of Constructive Researchmentioning

confidence: 99%

Constructive Research and Info-computational Knowledge Generation

Dodig-Crnković

2010

Model-Based Reasoning in Science and Technology

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Abstract.It is usual when writing on research methodology in dissertations and thesis work within Software Engineering to refer to Empirical Methods, Grounded Theory and Action Research. Analysis of Constructive Research Methods which are fundamental for all knowledge production and especially for concept formation, modeling and the use of artifacts is seldom given, so the relevant first-hand knowledge is missing. This article argues for introducing of the analysis of Constructive Research Methods, as crucial for understanding of research process and knowledge production. The paper provides characterization of the Constructive Research Method and its relations to Action Research and Grounded Theory. Illustrative example of Blue Brain Project is presented. Finally, foundations of Constructive Research are analyzed within the framework of Info-Computationalism which provides models of knowledge construction by information processing in a cognizing agent. Understanding of Research Methodology in Computing on the Background of Philosophy of Engineering and Philosophy of ScienceInformation age is fundamentally dependent on engineering whose knowledge largely rests on the research within Computing / Informatics. Demonstrably, artefacts built on research results of Computing work remarkably well and in that sense the research within Computing yields a reliable and trustworthy knowledge about the behavior of computational (engineered) systems. One of the relevant methodological and epistemological questions is what sort of knowledge is it and how it relates to our understanding of the world, including our understanding of humans. It is of interest to know what aspects of Computing could be labeled "Science" in a rigorous classical sense, and how knowledge produced within Computing enriches both our understanding of the world and our potential for further learning about the world and acting in the world, (see [1] and [2]).As we are building Knowledge Society, our understanding of knowledge production, both on the level of Cognitive Science and on the level of technological enhancements provided by ICT is becoming strategically important. In this context a very general view of Computing as Science and Computing as Engineering is needed wherefrom also necessity follows of understanding of Computing in both Philosophy of Science and Philosophy of Engineering contexts. In short, engineers have discovered the innovative potential of broad insights into the discipline, which gives tangible comparative advantage. Knowing about underlying mechanisms and structures for knowledge production helps us look out of the box and find novel approaches, which is especially important in constructive and design research.

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Section: Characteristics Of Constructive Researchmentioning

confidence: 99%

Constructive Research and Info-computational Knowledge Generation

Dodig-Crnković

2010

Model-Based Reasoning in Science and Technology

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“…Based on the normative-methodical field of processes P [1][2][3][4][5][6][7][8], assessment problems arising during their execution are analyzed.…”

Section: Assessment In Software Engineering: Objectives and Distinctimentioning

confidence: 99%

“…where DA P is the object domain of making decisions on management over P , RQ P are the requirements of a process P on the process complementing it in PA cortege (1), DC , DI , DE, and DM are the subdomains of the object domain of software engineering (ObSE) that correspond to its disciplines singled out in [6][7][8], namely, Economics, Industry, Engineering, and Management. The achievement of the main objective of activities in PA, namely, the improvement of the quality of SSs, presumes [1][2][3][4][5] repeated assessments of processes P of activity (1) in their environment, i.e., the fix of current and predicted values of efficiency criteria (for managed or monitored objects P ), achievement levels (for business objectives of P ), and criteria of prospects (for actions directed towards achieving objectives during the execution of P ).…”

Section: Introductionmentioning

confidence: 99%

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An approach to expert assessment in software engineering

Lavrischeva

Slabospickaya

2009

Cybern Syst Anal

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An approach is proposed to the solution of formalized problems of assessment of the activity that produces and maintains software systems (SSs). Such assessment is realized by using expertises that form a new assessment process adequate to the activity needs and specifics with an environment common to the expertises. The following mathematical apparatus is elaborated for expertises: a framework (target functions and executing mechanisms), a model and methods (formalisms for improving the quality and reusing the results of expertises) of an assessment process, and tools for integrating the apparatus into software development management processes. The approach is theoretically justified. Prospects of developing the proposed approach are described.Keywords: production of software systems, assessment problem, mathematical apparatus, expertise technology, model of an expert assessment process, ontology, homomorphism, metrized similarity, value tree, validity of an expert decision. INTRODUCTIONThe professional activity in creating software systems (SSs) assumes industrial features and status. It is based on technological standards, regulations, and estimates of the results of actions directed towards the design of SSs on the so-called Basic Process (BP) (involving analysts, programmers, and testers) and also towards the management over BP using the so-called Management Process (MP) (involving customers, managers, and appraisers).Taking into account the specificity of the BP [1, 3-6] and MP [2][3][4][5], the activity in producing SSs, i.e., the Production Activity (PA), can be represented by the following cortege:where DA P is the object domain of making decisions on management over P , RQ P are the requirements of a process P on the process complementing it in PA cortege (1), DC , DI , DE, and DM are the subdomains of the object domain of software engineering (ObSE) that correspond to its disciplines singled out in [6][7][8], namely, Economics, Industry, Engineering, and Management. The achievement of the main objective of activities in PA, namely, the improvement of the quality of SSs, presumes [1-5] repeated assessments of processes P of activity (1) in their environment, i.e., the fix of current and predicted values of efficiency criteria (for managed or monitored objects P ), achievement levels (for business objectives of P ), and criteria of prospects (for actions directed towards achieving objectives during the execution of P ).For the criteria of efficiency of the process BP, the following groups of methods [1-3] were formed: -collective decision-making methods such as Delphi (O. Halmer and N. Dalkey), brain storm (A. Osborn), and their modifications (M. Turoff and S. Faure), which are universal but excessively resource-intensive; 6381060-0396/09/4504-0638 -assessment of the quality and laboriousness of an SS project on the basis of Bayesian and neural networks that require the adaptation of a network to the project but do not provide the aggregation of views of participants with different roles;-special expert-...

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“…are absent), and also theories of development, management, and economy. Moreover, they are oriented toward the realization of SPs, do not cover the entire nature of production of new kinds of target objects and tools for manufacturing them [6][7][8][9][10][11][12][13][14], and also do not reflect newest scientific and technical achievements in SE, especially in the aspect of realizing the strategic course of industrialization of SPs.…”

Section: Introductionmentioning

confidence: 99%

Classification of software engineering disciplines

Lavrischeva

2008

Cybern Syst Anal

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The software engineering disciplines fixed in the international program Curricula-2004 are analyzed. A new classification is given that includes the basic disciplines of this program and its new disciplines that reflect important scientific, engineering, managerial, economic, production, and educational aspects of the software industry. The structure, contents, basic concepts, and destination of each of these disciplines and their roles in industrial production of software products are considered. The new disciplines are proposed to be included into the program Curricula-2010.

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Software engineering as a scientific and engineering discipline

Cited by 8 publications

References 2 publications

Constructive Research and Info-computational Knowledge Generation

Constructive Research and Info-computational Knowledge Generation

An approach to expert assessment in software engineering

Classification of software engineering disciplines

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