A conceptual basis for feature engineering

Turner, C. R.; Fuggetta, Alfonso; Lavazza, Luigi; Wolf, Alexander L.

doi:10.1016/s0164-1212(99)00062-x

Cited by 201 publications

(98 citation statements)

References 18 publications

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“…Turner et al [38] suggest a conceptual basis for feature engineering of software systems, and argue that by organizing requirements and life-cycle artifacts along their proposed notion of features, the gap between the problem space and solution space can be bridged. Although we have similar motivation, we believe that a more formal framework to reason about traceability between these artifacts helps improve software quality [19].…”

Section: Related Workmentioning

confidence: 99%

A Framework for Developing Feature-Rich Software Systems

Tun

Chapman

Haley

et al. 2009

2009 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems

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Section: Related Workmentioning

confidence: 99%

A Framework for Developing Feature-Rich Software Systems

Tun

Chapman

Haley

et al. 2009

2009 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems

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“…So, from the automated test case generation perspective, it can be viewed as a case of feature oriented automated test case generation method. Therefore, it can be viewed as a case on applying feature oriented Software Engineering [18] in automated test case generation.…”

Section: Related Workmentioning

confidence: 99%

Automated verification and test case generation for input validation

Liu

Tan

2006

Proceedings of the 2006 International Workshop on Automation of Software Test

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Input validation is essential for any software that deals with input from its external environment. It forms a major part of such software that has intensive interaction with its environment. Through the integration of invariant and empirical properties for implementing input validation, this paper proposes a novel approach for the automation of the following tasks from processing the source code of a program: (1) verification of existence of input validation; (2) generation of test cases to test and demonstrate all the input validations; (3) classification of each validation into the various types defined along with its test case generated. All the empirical properties in the theory have been validated statistically based on open source systems. Our evaluation shows that the proposed approach can help in both testing of input validation features and verifying the adequacy of input control.

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“…A more global view of how features can bridge the gap between the problem and solution domain is presented in [9]. In their view features are composed out of requirements fragments and realised in one or more design fragments, which make up the complete design.…”

Section: Featuresmentioning

confidence: 99%

“…In ideal cases, a particular feature implementation is localised to a single module; but in many cases features will cut across multiple components [8]. Consequently, features are an important early aspect to consider, as they try to bridge the gap between the problem domain and solution domain [9].…”

Section: Introductionmentioning

confidence: 99%

First class feature abstractions for product derivation

et al. 2004

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Abstract:The authors have observed that large software systems are increasingly defined in terms of the features they implement. Consequently, there is a need to express the commonalities and variability between products of a product family in terms of features. Unfortunately, technology support for the early aspect of a feature is currently limited to the requirements level. There is a need to extend this support to the design and implementation level as well. Existing separation of concerns technologies, such as AOP and SOP, may be of use here. However, features are not first class citizens in these paradigms. To address this and to explore the problems and issues with respect to features and feature composition, the authors have formalised the notion of features in a feature model. The feature model relates features to a component role model. Using our model and a composition algorithm, a number of base components and a number of features may be selected from a software product family and a product derived. As a proof of concept, the authors have experimented extensively with a prototype Java implementation of their approach.

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A conceptual basis for feature engineering

Cited by 201 publications

References 18 publications

A Framework for Developing Feature-Rich Software Systems

A Framework for Developing Feature-Rich Software Systems

Automated verification and test case generation for input validation

First class feature abstractions for product derivation

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