Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 e-Informatica Software Engineering Journal

Powiadomienia systemowe

Sesja wygasła!

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Are We Working Well with Others? How the Multi Team Systems Impact Software Quality

Lavallée M., Robillard P. N.

e-Informatica Software Engineering Journal

2018

Vol. 12, nr 1

117--131

Background: There are many studies on software development teams, but few about the interactions between teams. Current findings suggest that these multi-team systems may have a significant impact on software development projects. Aim: The objective of this exploratory study is to provide more evidence on multi-team systems in software engineering and identify challenges with a potential impact on software quality. Method: A non-participatory approach was used to collect data on one development project within a large telecommunication organization. Verbal interactions between team members were analyzed using a coding scheme following the Grounded Theory approach. Results: The results show that the interactions between teams are often technical in nature, outlining technical dependencies between departments, external providers, and even clients. Conclusion: This article hypothesizes that managers of large software project should (1) identify external teams most likely to interfere with their development work, to (2) appoint brokers to redirect external requests to the appropriate resource, and to (3) ensure that there are opportunities to discuss technical issues at the multi-team level. Failure to do so could results in delays and the persistence of codebase-wide issues.

A Knowledge-Based Perspective for Software Process Modeling

Kerzazi N., Lavallée M., Robillard P. N.

e-Informatica Software Engineering Journal

2013

Vol. 7, nr 1

25--33

As the acquisition and sharing of knowledge form the backbone of the software development process, it is important to identify knowledge discrepancies between the process elements. Explicit representation of the knowledge components within a software process model can provide a means to expose these discrepancies. This paper presents an extension of the Software and System Process Engineering Metamodel (SPEM), to be used as a new knowledge modeling layer. The approach, which is based on ontologies for knowledge representation, constitutes an explicit method for representing knowledge within process models. A concept matching indicator shows the state of the process model in terms of the concept gaps for each task within the process. This indicator could lead to more informed decision making and better management of the associated risks, in terms of team competency, documentation quality, and the training required to mitigate them.