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Title:Analiza človeških faktorjev pri programskem inženirstvu
Authors:ID Karneža, Marko (Author)
ID Rozman, Ivan (Mentor) More about this mentor... New window
Files:.pdf MAG_Karneza_Marko_2018.pdf (1,66 MB)
MD5: FEDFCB9DBDF8FB1A8A8E79031487C6E2
PID: 20.500.12556/dkum/574cfd37-754f-40c4-bd0a-d8c6afbc90b4
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Namen naloge je pridobiti strnjene aktualne in relavantne informacije, z vidika podjetij in posameznikov, o obsegu in pomembnosti upoštevanja človeških faktorjev pri procesih programskega inženirstva. Osredotočili smo se na širše področje človeških faktorjev, njihov vpliv na uspeh projekta in zadovoljstva s službo. Največ raziskav je bilo izvedenih v socialno najrazvitejših državah. Najbolj raziskani faktorji so osebnost, komunikacija, motivacija, sodelovanje, skupinsko delo, vodenje in drugi, ki se v večini raziskav predstavljajo kot najpomembnejši človeški faktorji, ki jih ne smemo prezreti. Rezultatov ni mogoče generalizirati na posamezno področje, saj moramo upoštevati družbeni in ekonomski status države programskih inženirjev ter različne vplive ostalih povezanih faktorjev. Prav tako izbira paradigme ne vpliva na obseg in pomembnost upravljanja človeških faktorjev. Podjetja se zavedajo, da je prepoznava in upravljanje človeških faktorjev lahko ključni element uspeha podjetja. Mehka znanja so prepoznana kot močan moderator uspeha projekta, medtem ko ima na zadovoljstvo pri delu največji vpliv avtonomija, komunikacija, programiranje v parih, uspeh, pošteno plačilo in nagrade. Področje človeških faktorjev pri programskem inženirstvu je še dokaj neraziskano in posledično neimplicirano v praksi. Na številnih področjih prihaja do nasprotujočih si rezultatov raziskav, prav tako se jih večina osredotoča le na en faktor in enoto analize, pri tem pa prezrejo vplive povezanih faktorjev in njihov vpliv na druge enote analize.
Keywords:mehka znanja, programsko inženirstvo, človeški faktorji, analiza, sociološki faktorji, socialna psihologija
Place of publishing:Maribor
Publisher:[M. Karneža]
Year of publishing:2018
PID:20.500.12556/DKUM-69379 New window
UDC:004.5(043.2)
COBISS.SI-ID:21587734 New window
NUK URN:URN:SI:UM:DK:DV4OXXFW
Publication date in DKUM:11.07.2018
Views:959
Downloads:100
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:16.01.2018

Secondary language

Language:English
Title:Analysis of human factors in software engineering
Abstract:The purpose of the review is to obtain the aspects of companies and individuals on the extent and importance of human factors in software engineering processes. We focused on a wide field of human factors, their impact on project success and job satisfaction. The socially developed countries carry out most research in our field. The most researched factors are personality, communication, motivation, cooperation, group work, leadership and others, which in most research are also the most important human factors that should not be ignored. The results cannot be generalized to a particular field, because we must take into account the social and economic status of the country of software engineers and the various influences of other related factors. Paradigm selection does not affect the extent and importance of human factors managing. Companies are aware that the identification and management of human factors can be a company's key success factor. Soft skills are strong moderator of the project success; while autonomy, communication, pair programming, success, fair pay and rewards are greatest moderators of job satisfaction. The area of human factors in software engineering is still quite young and consequently immature. Conflicting research results are found in various fields, and most research focuses on only one factor and one unit of analysis, and therefore neglect the impact of related factors and on other units of analysis.
Keywords:soft skills, software engineering, human factors, analysis, sociological factors, social psychology


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