Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Knowledge areas"'
Autor:
Sana Alam, Shehnila Zardari, Umme Laila, Muhammad Abbas, Kauser Shaheen, Sidra Fatima, Syed Affan Ahmed
Publikováno v:
JISR on Computing, Vol 22, Iss 1 (2024)
In our research study spanning 2015-2021, we analyzed Software Engineering (SE) across 15 Knowledge Areas (KAs) outlined by SWEBoK. Using Web of Science (WoS) database, we examined 32,232 articles (2015-2017), 31,459 articles (2018-2020), and 6,919 a
Externí odkaz:
https://doaj.org/article/885b49a1d03b4bc499cf4fb0ba47d7c4
Autor:
Sumei van Antwerpen
Publikováno v:
International Journal of Applied Sciences in Tourism and Events, Vol 7, Iss 2, Pp 108-119 (2023)
The concept of an established international body of knowledge implies being updated with a respected good standing. The EMBOK (event management body of knowledge) may have some limitations in need of an update to be clearly distinguished. EM (event m
Externí odkaz:
https://doaj.org/article/b332a5bad7ab427981aacfa23e82104e
Publikováno v:
Journal of Engineering, Project, and Production Management, Vol 13, Iss 2, Pp 138-147 (2023)
Academic and professional literature records the primary areas of interest within a discipline and how they change across time. However, it does not always keep up to date with the practical needs of various industries. This article discusses the Pro
Externí odkaz:
https://doaj.org/article/d0e919fe1c33436fb08eaf294b9ce8bf
Publikováno v:
Journal of Knowledge Management, 2022, Vol. 26, Issue 10, pp. 2634-2667.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JKM-01-2021-0083
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19697- (2023)
The construction industry (CI) plays a vital role in infrastructure development and improves the socio-economic status with employment opportunities and contribution to gross domestic progress (GDP) of countries. However, its productivity has diminis
Externí odkaz:
https://doaj.org/article/e1091402c651496ba708617c379c1439
Publikováno v:
SN Applied Sciences, Vol 4, Iss 6, Pp 1-13 (2022)
Article highlights Design a machine learning model to predict knowledge area failure in project management. Compare and contrast the machine learning model's performance. Evaluate the suggested machine learning model.
Externí odkaz:
https://doaj.org/article/80d6cf1014454f80a64c809b8cdf9e74
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Revista UIS Ingenierías, Vol 20, Iss 4 (2021)
Bodies of knowledge and project management standards are defined as sets of proven methods and practices widely applied by practitioners for managing projects in particular disciplines. Since bodies of knowledge are discipline-dependent, when they ar
Externí odkaz:
https://doaj.org/article/63e7e4fed7f94e57878f15eb9a8dd77e
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Organizational Change Management, 2018, Vol. 31, Issue 2, pp. 385-409.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JOCM-12-2016-0301