This paper presents a 3D visualization approach which gravitates around the city metaphor, i.e., an object-oriented software system is represented as a city that can be traversed and interacted with: the goal is to give the viewer a sense of locality to ease program comprehension. The key point in conceiving a realistic software city is to map the information about the source code in meaningful ways in order to take the approach beyond beautiful pictures. We investigated several concepts that contribute to the urban feeling, such as appropriate layouts, topology, and facilities to ease navigation and interaction. We experimented our approach on a number of systems, and present our findings.

Completing software maintenance and evolution tasks for today’s large, complex software systems can be difficult, often requiring considerable time to understand the system well enough to make correct changes. Despite evidence that successful programmers use program structure as well as identifier names to explore software, most existing program exploration techniques use either structural or lexical identifier information. By using only one type of information, automated tools ignore valuable clues about a developer’s intentions—clues critical to the human program comprehension process. In this paper, we present and evaluate a technique that exploits both program structure and lexical information to help programmers more effectively explore programs. Our approach uses structural information to focus automated program exploration and lexical information to prune irrelevant structure edges from consideration. For the important program exploration step of expanding from a seed, our experimental results demonstrate that an integrated lexical- and structural-based approach is significantly more effective than a state-of-the-art structural program exploration technique.

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The user interfaces of today’s development environments have a “bento box ” design that partitions information into separate areas. This design makes it difficult to stay oriented in the open documents and to synthesize information shown in different areas. Code Canvas takes a new approach by providing an infinite zoomable surface for software development. A canvas both houses editable forms of all of a project’s documents and allows multiple layers of visualization over those documents. By uniting the content of a project and information about it onto a single surface, Code Canvas is designed to leverage spatial memory to keep developers oriented and to make it easy to synthesize information.

Programming languages provide various mechanisms to support information hiding. One problem with information hiding, however, is that providing a stable interface behind which to hide implementation details involves fixing in advance the services offered through the interface. We introduce a flexible approach to define and manage interfaces to achieve separation of concerns in evolving software. Our approach involves explicitly specifying interface and implementation classes for individual concerns, and automatically classifying implementation classes based on their relation to the interface. Our approach is supported by JMantlet, a tool that provides advanced interface management within an integrated development environment. We report on a case study of a large system that provides evidence that flexible interface management is desirable and adequately supported by our approach. 1.

Abstract. Few real software systems are built completely from scratch nowadays. Instead, systems are built iteratively and incrementally, while integrating and interacting with components from many other systems. Adaptation, reconfiguration and evolution are normal, ongoing processes throughout the lifecycle of a software system. Nevertheless the platforms, tools and environments we use to develop software are still largely based on an outmoded model that presupposes that software systems are closed and will not significantly evolve after deployment. We claim that in order to enable effective and graceful evolution of modern software systems, we must make these systems more amenable to change by (i) providing explicit, first-class models of software artifacts, change, and history at the level of the platform, (ii) continuously analysing static and dynamic evolution to track emergent properties, and (iii) closing the gap between the domain model and the developers ’ view of the evolving system. We outline our vision of dynamic, evolving software systems and identify the research challenges to realizing this vision. 1

Understanding classes and methods is a key activity in object-oriented programming, since classes represent the primary abstractions from which applications are built, while methods contain the actual program logic. The main problem of this task is to quickly grasp the purpose and inner structure of a class. To achieve this goal, one must be able to overview multiple methods at once. In this paper, we present microprints, pixel-based representations of methods enriched with semantical information. We present three specialized microprints each dealing with a specific aspect we want to understand of methods: (1) state access, (2) control flow, and (3) invocation relationship 1. 1

Dependency Structure Matrix (DSM), an approach developed in the context of process optimization, has been successfully applied to identify software dependencies among packages and subsystems. It exists a couple of algorithms to help organizing the matrix in a form that reflects the architecture and highlights patterns and problematic dependencies between subsystems. However, the existing DSM implementations often miss some important information in their visualization to fully support a reengineering effort. In this paper we enhanced DSM with enriched cell contextual information by showing information (i) about the kinds of references made (inheritance, class accesses..), (ii) the proportion of entities (classes/methods) doing references, (iii) the proportion of entities been the target of the references. We distinguish independent cycles and stress the cycles using coloring information. This work has been implemented on top of the Moose open-source reengineering environment and Mondrian. It has been applied to non-trivial case studies such as the Morphic UI frameworks available in Squeak an open-source Smalltalk. 1

Abstract—Enterprise Applications are complex software systems that manipulate much persistent data and interact with the user through a vast and complex user interface. In particular applications written for the Java 2 Platform, Enterprise Edition (J2EE) are composed using various technologies such as Enterprise Java Beans (EJB) or Java Server Pages (JSP) that in turn rely on languages other than Java, such as XML or SQL. In this heterogeneous context applying existing reverse engineering and quality assurance techniques developed for object-oriented systems is not enough. Because those techniques have been created to measure quality or provide information about one aspect of J2EE applications, they cannot properly measure the quality of the entire system. We intend to devise techniques and metrics to measure quality in J2EE applications considering all their aspects and to aid their evolution. Using software visualization we also intend to inspect to structure of J2EE applications and all other aspects that can be investigate through this technique. In order to do that we also need to create a unified meta-model including all elements composing a J2EE application.

On porting software visualization tools to