Challenges of Integrating Artificial Intelligence in Software Project Planning: A Systematic Literature Review

A Mohammad, B Chirchir - Digital, 2024 - mdpi.com
Artificial intelligence (AI) has helped enhance the management of software development
projects through automation, improving efficiency and enabling project professionals to …

An improved case-based reasoning approach for sustainable rural development applied to strategic responses

Y Wang, Y Feng, L Liu - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Sustainable development has become a worldwide consensus in recent years. It has
become increasingly important to study how to make effective management decisions in …

A decade of progress: A systematic literature review on the integration of ai in software engineering phases and activities (2013-2023)

UK Durrani, M Akpinar, MF Adak, AT Kabakus… - IEEE …, 2024 - ieeexplore.ieee.org
The synergy between software engineering (SE) and artificial intelligence (AI) catalyzes
software development, as numerous recent studies illustrate an intensified intersection …

An optimized LSTM neural network for accurate estimation of software development effort

AE Iordan - Mathematics, 2024 - mdpi.com
Software effort estimation has constituted a significant research theme in recent years. The
more important provocation for project managers concerns reaching their targets within the …

[HTML][HTML] Reliable machine learning models for estimating effective software development efforts: A comparative analysis

A Jadhav, SK Shandilya - Journal of Engineering Research, 2023 - Elsevier
Effort estimation in the software industry is recognized as one of the most critical activities for
the success of the overall solution delivery in the software development process. Software …

An improved analogy-rule based software effort estimation using HTRR-RNN in software project management

KH Kumar, K Srinivas - Expert Systems with Applications, 2024 - Elsevier
To complete a software project, the most realistic effort required is predicted by the process
called Software Effort Estimation (SEE). Effort Estimation (EE) in software development is …

TSoptEE: two-stage optimization technique for software development effort estimation

P Manchala, M Bisi - Cluster Computing, 2024 - Springer
Accurate software development effort estimation (SDEE) is vital for effective project planning.
Due to the complex nature of software projects, estimating development effort has become a …

[HTML][HTML] Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm

MA Jamil, MK Nour, SS Alotaibi, MJ Hussain… - Applied Sciences, 2023 - mdpi.com
Self-adaptive systems are capable of reconfiguring themselves while in use to reduce the
risks forced by environments for which they may not have been specifically designed …

An artificial neural network model for project effort estimation

B Şengüneş, N Öztürk - Systems, 2023 - mdpi.com
Estimating the project effort remains a challenge for project managers and effort estimators.
In the early phases of a project, having a high level of uncertainty and lack of experience …

Review and Empirical Analysis of Software Effort Estimation

M Rahman, H Sarwar, MA Kader, T Gonãğalves… - IEEE …, 2024 - ieeexplore.ieee.org
The average software company spends a huge amount of its revenue on Research and
Development (R&D) for how to deliver software on time. Accurate software effort estimation …