Analyzing the relationship between project productivity and environment factors in the use case points method-Reference-Cited by-同舟云学术

Analyzing the relationship between project productivity and environment factors in the use case points method

Published:2017-05-11 Issue:9 Volume:29 Page:e1882
ISSN:2047-7473
Container-title:Journal of Software: Evolution and Process
language:en
Short-container-title:J Softw Evol Proc

Author:

Azzeh Mohammad¹^ORCID,Nassif Ali Bou²

Affiliation:

1. Department of Software Engineering; Applied Science Private University; Amman Jordan

2. Department of Electrical and Computer Engineering; University of Sharjah; Sharjah UAE

Publisher

Wiley

Subject

Software

Reference46 articles.

1. Simplifying effort estimation based on use case points;Ochodek;Inf Softw Technol,2011

2. Robiolo G Badano C Orosco R Transactions and paths: Two use case based metrics which improve the early effort estimation International Symposium on Empirical Software Engineering and Measurement, 2009

3. Employing use cases to early estimate effort with simpler metrics;Robiolo;Innov Syst Softw Eng,2008

4. Issa A Odeh M Coward D Software cost estimation using use-case models: A critical evaluation Information and Communication Technologies, 2006 . ICTTA '06. 2nd,

5. Albrecht A Measuring application development productivity IBM Application Development Symp. 1979

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. More Accurate Cost Estimation for Internet of Things Projects by Adaptation of Use Case Points Methodology;IEEE Internet of Things Journal;2023-11-01

2. Software Effort Estimation Using Deep Learning and Fuzzy Modelling;2023 28th International Conference on Automation and Computing (ICAC);2023-08-30

3. Random forests for predicting software effort estimation based on use-case points analysis;PROCEEDINGS OF THE 4TH INTERNATIONAL COMPUTER SCIENCES AND INFORMATICS CONFERENCE (ICSIC 2022);2023

4. Know-UCP: locally weighted linear regression based approach for UCP estimation;Applied Intelligence;2022-10-12

5. On the value of project productivity for early effort estimation;Science of Computer Programming;2022-07