Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Hyggo Almeida"'
Autor:
Danyllo Albuquerque, Jemerson Damásio, Danilo Santos, Hyggo Almeida, Mirko Perkusich, Angelo Perkusich
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 10, Iss 3, Pp 100346- (2024)
Background: In today’s rapidly changing business landscape, innovation is recognized as a critical driver of growth and competitiveness for organizations. As businesses strive to remain agile and respond to evolving customer demands, the need for e
Externí odkaz:
https://doaj.org/article/e71227d7dcd449b89ecc57f5fbf0ee33
Autor:
Felipe Cunha, Mirko Perkusich, Everton Guimaraes, Ramon Santos, Thiago Rique, Danyllo Albuquerque, Angelo Perkusich, Hyggo Almeida, Kyller Costa Gorgonio
Publikováno v:
Journal of Communications Software and Systems, Vol 20, Iss 1, Pp 99-112 (2024)
Agile Software Development (ASD) confronts the challenge of effectively measurement and predicting the capabilities of software engineers and teams to improve individual performance, team efficiency, and project success. This study delves into explor
Externí odkaz:
https://doaj.org/article/b7287fac8adb4b0a8818938b89012d8d
Autor:
Yonatha Almeida, Danyllo Albuquerque, Emanuel Dantas Filho, Felipe Muniz, Katyusco de Farias Santos, Mirko Perkusich, Hyggo Almeida, Angelo Perkusich
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101677- (2024)
This paper presents a research investigation into the application of Artificial Intelligence (AI) within code review processes, aiming to enhance the quality and efficiency of this critical activity. An IntelliJ IDEA plugin was developed to achieve t
Externí odkaz:
https://doaj.org/article/54ea40fc8ade4fa4aa807e3acf7f3787
Autor:
Danyllo Albuquerque, Everton Guimaraes, Mirko Perkusich, Thiago Rique, Felipe Cunha, Hyggo Almeida, Angelo Perkusich
Publikováno v:
IEEE Access, Vol 11, Pp 84589-84606 (2023)
Code smells are structures in a program that often indicate the presence of deeper maintainability problems. Code smells should be detected as soon as they are introduced, enabling refactoring actions with less effort and time. Non-Interactive Detect
Externí odkaz:
https://doaj.org/article/d83170bb79a3412aa2cfbb01683ac0e9
Autor:
Thiago Rique, Mirko Perkusich, Emanuel Dantas, Danyllo Albuquerque, Kyller Gorgonio, Hyggo Almeida, Angelo Perkusich
Publikováno v:
IEEE Access, Vol 11, Pp 73145-73163 (2023)
Organizations have used software engineering data to support decision-making by applying data-driven approaches such as software analytics. However, adopting analytics tools depends on the information they provide and the real needs of practitioners.
Externí odkaz:
https://doaj.org/article/721be4895ba74c3c9dfda09d8daf5d53
Autor:
Manuel Silva, Mirko Perkusich, Arthur Freire, Danyllo Albuquerque, Kyller Costa Gorgonio, Hyggo Almeida, Angelo Perkusich, Everton Guimaraes
Publikováno v:
Journal of Communications Software and Systems, Vol 18, Iss 2, Pp 153-164 (2022)
Multiple models (or instruments) for measuring Teamwork Quality (TWQ) for Agile Software Development can be found in the literature. Regardless, such models have different constructs and measures, with no empirical evidence for comparing them. This s
Externí odkaz:
https://doaj.org/article/51fd12285ca3434495bd7b9134832906
Autor:
Alexandre Costa, Felipe Ramos, Mirko Perkusich, Ademar De Sousa Neto, Luiz Silva, Felipe Cunha, Thiago Rique, Hyggo Almeida, Angelo Perkusich
Publikováno v:
IEEE Access, Vol 10, Pp 68981-68994 (2022)
Forming effective teams is an essential but challenging task, especially for organizations that carry out multiple projects simultaneously, a problem known as the Multiple Team Formation (MTF) problem. The literature presents several solutions for th
Externí odkaz:
https://doaj.org/article/c83886f60747429e9dd34e36a0027e37
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8770 (2023)
(Context) Code smells indicate poor coding practices or design flaws, suggesting deeper software quality issues. While addressing code smells promptly improves software quality, traditional detection techniques often fail in continuous detection duri
Externí odkaz:
https://doaj.org/article/11ba4ac2285e4f25b4e9c054af9ae731
Autor:
Ednaldo Dilorenzo, Emanuel Dantas, Mirko Perkusich, Felipe Ramos, Alexandre Costa, Danyllo Albuquerque, Hyggo Almeida, Angelo Perkusich
Publikováno v:
IEEE Access, Vol 8, Pp 107285-107300 (2020)
Context - Agile Software Development (ASD) and Reuse-Driven Software Engineering (RDSE) are well-accepted strategies to improve the efficiency of software processes. A challenge to integrate both approaches is that ASD relies mostly on tacit knowledg
Externí odkaz:
https://doaj.org/article/5f82aa0cedbc4b31b5b1d340969757b4
Autor:
Renata Saraiva, Amaury Medeiros, Mirko Perkusich, Dalton Valadares, Kyller Costa Gorgonio, Angelo Perkusich, Hyggo Almeida
Publikováno v:
IEEE Access, Vol 8, Pp 198801-198821 (2020)
Measures are essential resources to improve quality and control costs during software development. One of the main factors for having successful software measurement programs is measure trustworthiness, defined as how much a user can trust a measure
Externí odkaz:
https://doaj.org/article/36dd299e7c8045cb84f81f08e43df44e