The use of dynamic invariants to describe software behaviour has gained increasing popularity and various tools and techniques for mining and using these invariants have been published. Typically, these invariants are used to support various software engineering tasks, such as testing and debugging, which require one to understand and be able to reason about the system behaviour in terms of these invariants. However, the existing works are generally focused on a specific set of invariants for a specific purpose. In many cases it is also useful to view these in a wider context to enable a wider understanding of the invariants and to provide more extensive support across different domains. This paper presents work towards a general taxonomy d...
Developing trusted softwares has become an important trend and a natural choice in the development o...
In this paper a dynamic approach to measure the coupling of software systems is proposed. The conven...
Daikon is an implementation of dynamic detection of likely invariants; that is, the Daikon invariant...
The use of dynamic invariants to describe software behaviour has gained increasing popularity and va...
Abstract — Describing software runtime behaviour in terms of its invariant properties has gained inc...
Dynamic invariant detection is a software analysis technique that uses traces of function entry and ...
Abstract Software metrics help us to make meaningful estimates for software products and guide us in...
Dynamic invariant detection is the process of distilling invariants from information about a program...
The quanti\ufb01cation of several software attributes (e.g., size, complexity, cohesion, coupling) i...
Developing trusted softwares has become an important trend and a natural choice in the development o...
Despite the many automated techniques that benefit from dynamic invariant detection, to date, none a...
Abstract—Program invariants are statements or assertions that are widely used in program analysis an...
Metrics is the process by which numbers or symbols are assigned to attributes of entities in the rea...
AbstractDaikon is an implementation of dynamic detection of likely invariants; that is, the Daikon i...
Software engineering strives to enable the economic construction of software systems that behave rel...
Developing trusted softwares has become an important trend and a natural choice in the development o...
In this paper a dynamic approach to measure the coupling of software systems is proposed. The conven...
Daikon is an implementation of dynamic detection of likely invariants; that is, the Daikon invariant...
The use of dynamic invariants to describe software behaviour has gained increasing popularity and va...
Abstract — Describing software runtime behaviour in terms of its invariant properties has gained inc...
Dynamic invariant detection is a software analysis technique that uses traces of function entry and ...
Abstract Software metrics help us to make meaningful estimates for software products and guide us in...
Dynamic invariant detection is the process of distilling invariants from information about a program...
The quanti\ufb01cation of several software attributes (e.g., size, complexity, cohesion, coupling) i...
Developing trusted softwares has become an important trend and a natural choice in the development o...
Despite the many automated techniques that benefit from dynamic invariant detection, to date, none a...
Abstract—Program invariants are statements or assertions that are widely used in program analysis an...
Metrics is the process by which numbers or symbols are assigned to attributes of entities in the rea...
AbstractDaikon is an implementation of dynamic detection of likely invariants; that is, the Daikon i...
Software engineering strives to enable the economic construction of software systems that behave rel...
Developing trusted softwares has become an important trend and a natural choice in the development o...
In this paper a dynamic approach to measure the coupling of software systems is proposed. The conven...
Daikon is an implementation of dynamic detection of likely invariants; that is, the Daikon invariant...