Combining data analytics and developers feedback for identifying reasons of inaccurate estimations in agile software development-Reference-Cited by-同舟云学术

Combining data analytics and developers feedback for identifying reasons of inaccurate estimations in agile software development

Published:2019-10 Issue: Volume:156 Page:126-135
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Conoscenti Marco^ORCID,Besner Veronika,Vetrò Antonio,Fernández Daniel Méndez^ORCID

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference21 articles.

1. Pearson correlation coefficient;Benesty,2009

2. Statistical Power Analysis for the Behavioral Sciences;Cohen,1988

3. Cohn, M., 2018. User Stories and User Story Examples by Mike Cohn. [Online; accessed 28. Nov. 2018] URL https://www.mountaingoatsoftware.com/agile/user-stories.

4. Stakeholders’ perception of success: An empirical investigation;Egorova,2009

5. Factors systematically associated with errors in subjective estimates of software development effort: the stability of expert judgment;Gray,1999

Cited by 12 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. A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile;ACM Computing Surveys;2024-06-28

2. Much more than a prediction: Expert-based software effort estimation as a behavioral act;Empirical Software Engineering;2023-07

3. Improving Agile Planning for Reliable Software Delivery;2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR);2023-05

4. A Fuzzy AHP-based approach for prioritization of cost overhead factors in agile software development;Applied Soft Computing;2023-01

5. Scrum Project Management Challenges and Solutions: Systematic Literature Review;2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED);2022-07-28