Component selection in software engineering - Which attributes are the most important in the decision process?

Chatzipetrou, Panagiota, Assistant Professor, 1984- (author): Blekinge Tekniska Högskola,Institutionen för programvaruteknik,SERL Sweden

Alégroth, Emil (author): Blekinge Tekniska Högskola,Institutionen för programvaruteknik

Papatheocharous, Eli (author): University of Cyprus, Cyprus,RISE SICS AB, Lund, Sweden,RISE SICS AB, SWE

Borg, Markus (author): RISE,SICS,RISE SICS AB, Lund, Sweden,RISE SICS AB, SWE

Gorschek, Tony, 1972- (author): Blekinge Tekniska Högskola,Institutionen för programvaruteknik

Wnuk, Krzysztof, 1982- (author): Blekinge Tekniska Högskola,Institutionen för programvaruteknik

(creator_code:org_t)

IEEE conference proceedings, 2018
2018
English.
In: Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018. - : IEEE conference proceedings. - 9781538673829 ; , s. 198-205, s. 198-205

Related links:: https://urn.kb.se/re...; show more...; https://doi.org/10.1...; https://urn.kb.se/re...; https://urn.kb.se/re...; show less...

Abstract Subject headings

Component-based software engineering is a common approach to develop and evolve contemporary software systems where different component sourcing options are available: 1)Software developed internally (in-house), 2)Software developed outsourced, 3)Commercial of the shelf software, and 4) Open Source Software. However, there is little available research on what attributes of a component are the most important ones when selecting new components. The object of the present study is to investigate what matters the most to industry practitioners during component selection. We conducted a cross-domain anonymous survey with industry practitioners involved in component selection. First, the practitioners selected the most important attributes from a list. Next, they prioritized their selection using the Hundred-Dollar ($100) test. We analyzed the results using Compositional Data Analysis. The descriptive results showed that Cost was clearly considered the most important attribute during the component selection. Other important attributes for the practitioners were: Support of the component, Longevity prediction, and Level of off-the-shelf fit to product. Next, an exploratory analysis was conducted based on the practitioners' inherent characteristics. Nonparametric tests and biplots were used. It seems that smaller organizations and more immature products focus on different attributes than bigger organizations and mature products which focus more on Cost. .

NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

By the author/editor: Chatzipetrou, Pa ...; Alégroth, Emil; Papatheocharous, ...; Borg, Markus; Gorschek, Tony, ...; Wnuk, Krzysztof, ...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Software Enginee ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Other Electrical ...

By the university: RISE; Örebro University; Blekinge Institute of Technology

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