Recovering fine grained traceability between software mandatory constraints and source code
Software traceability is a necessary process to carry out source code maintenance, testing and feature location tasks. Despite its importance, it is not a process that is strictly conducted since the creation of every software project. Throughout the last few years information retrieval techniques h...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2019 |
| País: | Colombia |
| Institución: | Universidad Nacional de Colombia |
| Repositorio: | Repositorio UN |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.unal.edu.co:unal/76419 |
| Acceso en línea: | https://repositorio.unal.edu.co/handle/unal/76419 http://bdigital.unal.edu.co/72796/ |
| Access Level: | acceso abierto |
| Palabra clave: | Software traceability information Retrieval Static Code Analysis Software Maintenance Program Slicing Natural Language Processing Trazabilidad de software Recuperacion de información Analisis estatico de código Mantenimiento de código Procesamiento de lenguaje natural |
| Sumario: | Software traceability is a necessary process to carry out source code maintenance, testing and feature location tasks. Despite its importance, it is not a process that is strictly conducted since the creation of every software project. Throughout the last few years information retrieval techniques have been proposed to recover traceability links between software artifacts in a coarse-grained and middle-grained level. In contexts where it is fundamental to ensure the correct implementation of regulations and constraints at source code level, as in the case of HIPAA, proposed techniques are not enough to find traceability links in a fine-granular way. In this research we propose a fine-grained traceability algorithm to find traces between high level requirements written in human natural language with source code lines and structures where they are implemented. |
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