Author: Dr. Yong LuoPublisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 28
Book Description
Algorithmic Debugging for Locally Defined Functions
Author: Dr. Yong LuoPublisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 28
Book Description
Automated and Algorithmic Debugging
Author: Peter A. FritzsonPublisher: Springer Science & Business Media
ISBN: 9783540574170
Category : Computers
Languages : en
Pages : 392
Book Description
Debugging has always been a costly part of software development, and many attempts have been made to provide automatic computer support for this task.Automated debugging has seen major develoments over the last decade. Onesuccessful development is algorithmic debugging, which originated in logic programming but was later generalized to concurrent, imperative, and lazy functional languages. Important advances have also been made in knowledge-based program debugging, and in approaches to automated debugging based on static and dynamic program slicing based on dataflow and dependence analysis technology. This is the first collected volume of papers on automated debugging and presents latest developments, tutorial papers, and surveys.
Algorithmic Debugging and Trusted Functions
Author: Yong LuoPublisher:
ISBN:
Category : Debugging in computer science
Languages : en
Pages : 16
Book Description
Generalized Algorithmic Debugging
Author: N. ShahmehriPublisher:
ISBN: 9789178708284
Category : Debugging in computer science
Languages : en
Pages : 189
Book Description
Abstract: "This thesis presents a novel method for semi-automatic program debugging -- the Generalized Algorithmic Debugging Technique, GADT. The notion of declarative algorithmic debugging was first introduced for logic programming. However, this is the first algorithmic debugging method based on the principle of declarative debugging which can handle the debugging of programs written in an imperative language including loops and side-effects. In order to localize a bug, the debugging algorithm incrementally acquires knowledge about the debugged program. The knowledge is supplied by the user. The algorithm terminates when the bug has been localized to within the body of a procedure or an explicit loop. The generalized algorithmic debugging method uses program transformation and program flow analysis techniques to transform the subject program to a largely side-effect-free internal form which is used for bug localization. Thus, this algorithm defines two views of a program: (1) The user view which is the original program with side-effects and (2) the transformed view which is the transformed side-effect-free version of the original program. Transparent program debugging is supported by maintaining a mapping between these two views. The bug localization algorithm works on the transformed version, whereas user interactions are defined in terms of the user view. We have presented a general technique which it [sic] is not based on any ad-hoc assumptions about the subject program. The flexibility of this method has made it possible to further improve the bug localization algorithm by employing a number of other techniques, i.e. program slicing and test database lookup, thus increasing the degree of automation provided by GADT. These extensions are topics for ongoing research projects and future work. A survey and evaluation of a number of automated debugging systems and the techniques behind these systems are also presented. We have introduced several criteria for comparing these techniques with GADT. A prototype implementation of the generalized algorithmic debugging technique has been carried out to verify its feasibility, and to provide feedback for further refinement of the method. This has already resulted in a more efficient set of transformations, described in the thesis, compared to the initial prototype."
Algorithmic Program Debugging
Author: Ehud Yehuda ShapiroAlgorithmic Debugging with Cyclic Traces of Lazy Functional Programs
Author: Dr. Yong LuoPublisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 24
Book Description
Anyone Can Code: Algorithmic Thinking
Author: Ali AryaPublisher: Ali Arya
ISBN:
Category : Computers
Languages : en
Pages : 288
Book Description
As the second book in the Anyone Can Code series, Algorithmic Thinking focuses on the logic behind computer programming and software design. With a data-centred approach, it starts with simple algorithms that work on simple data items and advances to more complex ones covering data structures and classes. Examples are given in C/C++ and Python and use both plain text and graphics applications to illustrate the concepts in different languages and forms. With the advances in artificial intelligence and automated code generators, it is essential to learn about the logic of what a code needs to do, not just how to write the code. Anyone Can Code: Algorithmic Thinking is suitable for anyone who aims to improve their programming skills and go beyond the simple craft of programming, stepping into the world of algorithm design.
Algorithmic Program Debugging
Author: Ehud Y. ShapiroPublisher: MIT Press (MA)
ISBN: 9780262693073
Category : Computers
Languages : en
Pages : 231
Book Description
Shapiro productively combines elements of programming languages, environments, logic, and inductive inference to produce effective debugging aids. The author's use of the PROLOG language provides an efficient implementation of the debugging algorithms.
Proceedings
Author: Conference on Software MaintenancePublisher:
ISBN: 9780818620911
Category :
Languages : en
Pages :
Book Description
Proceedings of the ACM SIGPLAN and SIGOPS Workshop on Parallel and Distributed Debugging
Author: Publisher: Association for Computing Machinery (ACM)
ISBN:
Category : Computer networks
Languages : en
Pages : 760
Book Description
Proceedings -- Parallel Computing.