Time-Traveling Debugging Queries: Faster Program Exploration

Willembrinck, Maximilian; Costiou, Steven; Etien, Anne; Ducasse, Stephane

Type de document :

Communication dans un congrès avec actes

Titre :

Time-Traveling Debugging Queries: Faster Program Exploration

Auteur(s) :

Willembrinck, Maximilian [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Costiou, Steven [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Etien, Anne [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Ducasse, Stephane [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]

Titre de la manifestation scientifique :

International Conference on Software Quality, Reliability, and Security

Ville :

Hainan Island

Pays :

Chine

Date de début de la manifestation scientifique :

2021-12-06

Discipline(s) HAL :

Informatique [cs]/Langage de programmation [cs.PL]
Informatique [cs]/Génie logiciel [cs.SE]

Résumé en anglais : [en]

Efficiently debugging a program requires program comprehension. To acquire it, developers explore the program execution, a task often performed using interactive debuggers. Unfortunately, exploring a program execution ...
Lire la suite >Efficiently debugging a program requires program comprehension. To acquire it, developers explore the program execution, a task often performed using interactive debuggers. Unfortunately, exploring a program execution through standard interactive debuggers is a tedious and costly task. In this paper, we propose Time-Traveling Queries (TTQs) to ease program exploration. TTQs is a mechanism that automatically explores program executions to collect execution data. This data is used to time-travel through execution states, facilitating the exploration of program executions. We built a set of key TTQs based on typical questions developers ask when trying to understand programs. We conducted a user study with 34 participants to evaluate the impact of our queries on program comprehension activities. Results show that, compared to traditional debugging tools, TTQs significantly improve developers' precision, while reducing required time and efforts when performing program comprehension tasks.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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