Includes bibliographical references (p. 95-104).

Thesis (M.S.)--Texas A & M University, 2003. / "Major Subject: Visualization Sciences." Title from author supplied metadata. Includes bibliographical references.

Thesis (M.S.)--Texas A & M University, 2003. / "Major Subject: Visualization Sciences." Title from author supplied metadata. Includes bibliographical references.

Thesis (M.S.)--Texas A & M University, 2003. / "Major Subject: Visualization Sciences." Title from author supplied metadata. Includes bibliographical references.

Maintaining multiple variants of software systems is extremely difficult because developers often port edits and bug fixes during software evolution. This challenge particularly applies to closely related families of open source projects, such as BSD projects (FreeBSD, NetBSD and OpenBSD) with extensive cross-project porting activities. Developers encounter increasing obstacles in maintaining projects, particularly because of the difficulty in understand- ing historical artifacts involved in cross-system porting. Maintainers face the primary challenge of keeping track of the sources of ported edits, as it can be extremely time-consuming to mine historical data and track the source and target of patches. In the worst-case scenario, the maintainer has to mine through all historical data to ascertain the sources of ported code. Although current version control systems like CVS and GIT preserve historical data, the developer cannot easily identify and understand cross-system porting activities. In this thesis, we address the aforementioned issues by designing and implementing software visualization support to analyze the long chain of cross- project porting activities for Open Source Softwares (OSS) and particularly for three BSD projects (FreeBSD, OpenBSD and NetBSD). We take into account the geographically distributed community of OSS developers and maintainers, hosting the visualization of the activities as a web application. This study aims to analyze the effects of visualization on cross-project porting activity awareness. To meet the study’s objective, we developed a web-based awareness tool, VIGNETTE, based on the results of REPERTOIRE [18] (which identifies the cross-project porting activities in BSD projects using release history). This study focuses on two research questions: (1) How can visualization help novice open-source developers and maintainers gain insights into cross- project (projects evolving from the same code base) porting activities? (2) How can the visualization show the following: (a) a file-level association between peer projects (porting activities in cross-project files with similar file names), (b) the pairwise frequency of porting (the porting activity count between two cross-projects in a year), (c) the patch-file association (same patch id applied to different cross-project files), and (d) the developer to developer association based on cross-project porting activities (number of times the cross-project developers was involved in a common porting activity)? We conducted a user study with graduate students in the role of novice open-source developers interested in learning about cross-project porting activities. The results of the initial study showed that VIGNETTE could be very useful in answering the questions about cross-project porting and in determining who was involved in a particular porting activity and when. / text

published_or_final_version / Computer Science / Master / Master of Philosophy

No description available.

Very large sets of multi-source, multi-dimensional and time varying data are generated during the execution of construction projects, especially large-scale infrastructure projects. Emphasized in this thesis is how data visualization can provide important insights during the planning, implementation and post project analysis phases of linear projects in an urban environment, which are attended by a complex working environment and multiple stakeholders. These insights can lead to enhanced communication and better decision making. Thesis objectives are four fold: (i) examine how the representation of a schedule using linear planning charts can assist with assessing the quality of a schedule in terms of the construction strategy, communicate schedule intent to projects participants, and assist with telling the as-built story; (ii) explore images useful for representing multi source, multi-dimensional, time varying as-built construction data in support of management functions specifically with regards to communication and decision making; (iii) demonstrate the ability of visual representations of construction data to assist in telling the as-built story of a project in a manner that provides useful insights to project participants; and, (iv) critique the images presented in light of the data visualization principles and interaction tools identified, and suggest improvements as appropriate and possibly other images, including properties desired. In addressing these objectives, the methodology involved a review of computer science and construction literature as it pertains to data visualization and a case study of a past project which reflected the scale and complexity of planning and executing linear projects in an urban environment. The planned and as-built story were captured from the available data depicting the contractor’s perspective in the project’s product, process, and as-built views which were replicated in a research software system called REPCON software. This system supports selected data visualization capabilities, which were examined and critiqued as part of this thesis. It is demonstrated that data visualization is a powerful paradigm for gaining insights into the quality of a project’s plan and for understanding a project’s as-built performance. Greater benefits could be achieved by exploiting cutting edge visualization tools and by designing and implementing a more comprehensive set of images.

Radial visualization methods have been used frequently in the field of information visualization due to their compact design and aesthetic layout of data items that can often aid in the communication of relationships between them. Published methods however offer varying levels of effectiveness and are often restricted to particular data types, perspectives and interfaces that may not facilitate detailed data investigation or allow for knowledge discovery outside of what was originally intended when the visualization was developed. We present DataBurst, an open, flexible data visualization that extends traditional concentric radial space-filling diagrams using two methods of Focus+Context and uniquely leverages three radial diagram characteristics. DataBurst's effectiveness with varying volumes and types of data is then shown with two case studies and show that insight can be quickly gained by interactively viewing up to three attributes of data at once in the context of the hierarchy of the data.

No description available.