MOOSE - a task-driven program comprehension environment

J. Rilling, A. Seffah
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引用次数: 6

Abstract

Many tools have been developed to derive abstract representations from existing source code. Yet, most of these tools provide only little help in providing an encompassing picture of the system under examination. Graphical visualization techniques derived from reverse engineered source code have long been recognized for their impact on improving the comprehensibility of software systems and their source code. In this paper, we present a task-oriented approach to software comprehension by introducing our MOOSE (Montreal Object-Oriented Slicing Environment) environment that provides a task-driven wizard approach that supports a cognitive comprehension model combined with reverse engineering techniques, algorithmic and visualization support. We close our discussion with a brief overview of typical software comprehension tasks and how the MOOSE environment will benefit users during these comprehension tasks.
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一个任务驱动的程序理解环境
已经开发了许多工具来从现有源代码派生抽象表示。然而,这些工具中的大多数在提供所检查的系统的全面图像方面提供的帮助很少。源自逆向工程源代码的图形化可视化技术长期以来一直因其对提高软件系统及其源代码的可理解性的影响而得到认可。在本文中,我们提出了一种面向任务的软件理解方法,通过引入我们的MOOSE(蒙特利尔面向对象的切片环境)环境,该环境提供了一种任务驱动的向导方法,支持与逆向工程技术、算法和可视化支持相结合的认知理解模型。最后,我们简要概述了典型的软件理解任务,以及MOOSE环境将如何在这些理解任务中使用户受益。
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