Survey on Risk Classification in Agile Software Development Projects in Latvia

Software development method, which does not have any faults or gaps in project implementation, has not been elaborated so far. Due to this reason, the authors have decided to perform this study to make it easier for the companies, which use one of the agile development methods, to better foresee pot...

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Main Authors: Ņikiforova Oksana, Babris Kristaps, Kristapsons Jānis
Format: Article
Language:English
Published: Sciendo 2020-12-01
Series:Applied Computer Systems
Subjects:
Online Access:https://doi.org/10.2478/acss-2020-0012
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spelling doaj-fe120c7a61ef472baffcfa3d375e69ba2021-09-06T19:41:01ZengSciendoApplied Computer Systems2255-86912020-12-0125210511610.2478/acss-2020-0012acss-2020-0012Survey on Risk Classification in Agile Software Development Projects in LatviaŅikiforova Oksana0Babris Kristaps1Kristapsons Jānis2Riga Technical University, Riga, LatviaRiga Technical University, Riga, LatviaRiga Technical University, Riga, LatviaSoftware development method, which does not have any faults or gaps in project implementation, has not been elaborated so far. Due to this reason, the authors have decided to perform this study to make it easier for the companies, which use one of the agile development methods, to better foresee potential risks and to deal with their consequences. The aim of the research is to identify and classify risks in agile software development methods and the related projects based on the obtained survey data. To achieve the goal, the authors have developed evaluation criteria, as well as implemented practical questionnaire in various software development companies. From the obtained survey data, the risks are classified according to various factors, i.e., the changing highest and lowest priorities and needs in various projects. Thus, the obtained research results can be applied in various areas of project development, changing the order of priority factors.https://doi.org/10.2478/acss-2020-0012agilerisk classificationsoftware development
collection DOAJ
language English
format Article
sources DOAJ
author Ņikiforova Oksana
Babris Kristaps
Kristapsons Jānis
spellingShingle Ņikiforova Oksana
Babris Kristaps
Kristapsons Jānis
Survey on Risk Classification in Agile Software Development Projects in Latvia
Applied Computer Systems
agile
risk classification
software development
author_facet Ņikiforova Oksana
Babris Kristaps
Kristapsons Jānis
author_sort Ņikiforova Oksana
title Survey on Risk Classification in Agile Software Development Projects in Latvia
title_short Survey on Risk Classification in Agile Software Development Projects in Latvia
title_full Survey on Risk Classification in Agile Software Development Projects in Latvia
title_fullStr Survey on Risk Classification in Agile Software Development Projects in Latvia
title_full_unstemmed Survey on Risk Classification in Agile Software Development Projects in Latvia
title_sort survey on risk classification in agile software development projects in latvia
publisher Sciendo
series Applied Computer Systems
issn 2255-8691
publishDate 2020-12-01
description Software development method, which does not have any faults or gaps in project implementation, has not been elaborated so far. Due to this reason, the authors have decided to perform this study to make it easier for the companies, which use one of the agile development methods, to better foresee potential risks and to deal with their consequences. The aim of the research is to identify and classify risks in agile software development methods and the related projects based on the obtained survey data. To achieve the goal, the authors have developed evaluation criteria, as well as implemented practical questionnaire in various software development companies. From the obtained survey data, the risks are classified according to various factors, i.e., the changing highest and lowest priorities and needs in various projects. Thus, the obtained research results can be applied in various areas of project development, changing the order of priority factors.
topic agile
risk classification
software development
url https://doi.org/10.2478/acss-2020-0012
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AT babriskristaps surveyonriskclassificationinagilesoftwaredevelopmentprojectsinlatvia
AT kristapsonsjanis surveyonriskclassificationinagilesoftwaredevelopmentprojectsinlatvia
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