Continuous deployment of software intensive products and services: A systematic mapping study

P Rodríguez, A Haghighatkhah, LE Lwakatare… - Journal of systems and …, 2017 - Elsevier
The software intensive industry is moving towards the adoption of a value-driven and
adaptive real-time business paradigm. The traditional view of software as an item that …

Intelligent software engineering in the context of agile software development: A systematic literature review

M Perkusich, LC e Silva, A Costa, F Ramos… - Information and …, 2020 - Elsevier
Abstract CONTEXT: Intelligent Software Engineering (ISE) refers to the application of
intelligent techniques to software engineering. We define an “intelligent technique” as a …

Bayesian network model for task effort estimation in agile software development

S Dragicevic, S Celar, M Turic - Journal of systems and software, 2017 - Elsevier
Even though the use of agile methods in software development is increasing, the problem of
effort estimation remains quite a challenge, mostly due to the lack of many standard metrics …

A procedure to detect problems of processes in software development projects using Bayesian networks

M Perkusich, G Soares, H Almeida… - Expert Systems with …, 2015 - Elsevier
There are several software process models and methodologies such as waterfall, spiral and
agile. Even so, the rate of successful software development projects is low. Since software is …

Practices of motivators in adopting agile software development at large scale development team from management perspective

RA Khan, MF Abrar, S Baseer, MF Majeed, M Usman… - Electronics, 2021 - mdpi.com
Agile software development methodologies have become the most popular software
development methods in the last few years. These methodologies facilitate rapid …

Bayesian networks for enhancement of requirements engineering: a literature review

IM Del Águila, J Del Sagrado - Requirements engineering, 2016 - Springer
Requirements analysis is the software engineering stage that is closest to the users' world. It
also involves tasks that are knowledge intensive. Thus, the use of Bayesian networks (BNs) …

A 20‐year mapping of Bayesian belief networks in software project management

ALR de Sousa, CRB de Souza, RQ Reis - IET Software, 2022 - Wiley Online Library
In recent years, more software engineering researchers have focussed on methods,
techniques, tools, and processes to support software project management (SPM) addressing …

Assisting the continuous improvement of Scrum projects using metrics and Bayesian networks

M Perkusich, KC Gorgônio, H Almeida… - Journal of Software …, 2017 - Wiley Online Library
Scrum is a simple process to understand, but hard to adopt. Therefore, there is a need for
resources to assist on its adoption. In this paper, we present the process followed to build a …

Exploring agile mobile app development in industrial contexts: A qualitative study

A Asfour, S Zain, N Salleh, J Grundy - International Journal of …, 2019 - learntechlib.org
Agile development methods have been proposed as a natural fit for mobile app
development contexts. Despite many studies addressing the adoption of agile methods for …

A model to detect problems on scrum-based software development projects

M Perkusich, HO De Almeida, A Perkusich - Proceedings of the 28th …, 2013 - dl.acm.org
There is a high rate of software development projects that fails. Whenever problems can be
detected ahead of time, software development projects may have better chances of success …