Name: Proceedings of the European Computing Conference: Volume 2 (en Inglés)
SKU: 59628708
Price: 178.38 USD
Availability: InStock
Author: Mastorakis, Nikos ; Mladenov, Valeri ; Kontargyri, Vassiliki T.

portada Proceedings of the European Computing Conference: Volume 2 (en Inglés)

Proceedings of the European Computing Conference: Volume 2 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Mastorakis, Nikos ; Mladenov, Valeri ; Kontargyri, Vassiliki T.

Idioma

Inglés

N° páginas

729

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x3.8 cm

Peso

1.04 kg.

ISBN13

9781489979247

Categorías

Ingeniería de las comunicaciones/las telecomunicaciones
Hardware de redes
Inteligencia artificial

Proceedings of the European Computing Conference: Volume 2 (en Inglés)

Mastorakis, Nikos ; Mladenov, Valeri ; Kontargyri, Vassiliki T. (Autor) · Springer · Tapa Blanda

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Reseña del libro "Proceedings of the European Computing Conference: Volume 2 (en Inglés)"

Software testing has been considered so important that organizations can assign teams only for testing activities. Testing is an important activity to ensure software quality. Tests are usually run several times to certify that code ma- tenance did not accidentally insert defects into working parts of the software. In such situations, test teams shall be able to estimate the required effort to execute test cases in its schedules and to request more resources or negotiate deadlines when necessary. When regarding model-based testing approaches that we use in our documented Integrated and Optimized Software Testing methodology (IOSTP) [1-4], a high number of test cases can be automatically generated. As team resources are limited, it may be not practical to execute all generated test cases. Their complexity usually determines the effort required to execute them and it can be used for planning test resources and test suites. Several software development estimation models have been proposed over the years. However, these models do not estimate the effort for executing a given test suite, since their estimations are based on software development complexity instead of its test planning, test case design and test execution complexity. According to our reading of the literature (e. g. [5-14]), ''best practices'' in model-based effort estimation include: Local calibration (or LC); i. e. using local data to set two special tuning parameters; Stratification; i. e. given a database of past projects, and a current project to be estimated, restrict local calibration to just those records from similar projects.