Academic Library Websites in Bangalore City, India: An Evaluative Study

This study evaluates the content and quality of academic library websites. An evaluation checklist is used as a tool for evaluation of academic library websites. The checklist is divided into five main parts followed by Rating Table. The quantitative pointing system (ten point scale) and five point rating scales are used to evaluate and rank the websites. The study reveals that very few (16 percent) websites provide information about the date of last updating. Similarly very few (20 percent) websites provide links to other web reference sites and a moderate number (40 percent) have feedback forms for comments. On the other side, a good number of websites (76 percent) are efficient in loading images, icons, and graphics, and a large number (80 percent) have incorporated a web OPAC. The study is limited to the evaluation of websites of five academic libraries located in Bangalore, India.

Tailoring Rural Community Web Sites to New Residents

Recruiting and retaining new residents is critically important to communities that are experiencing either job growth or a declining population. City councils and village boards across the state often ask the question, “How can we bring in and keep new people today?” This issue has not gone unnoticed by the Nebraska Department of Economic Development or the University of Nebraska.

Helping End-Users “Engineer” Dependable Web Applications

End-user programmers are increasingly relying on web authoring environments to create web applications. Although often consisting primarily of web pages, such applications are increasingly going further, harnessing the content available on the web through “programs” that query other web applications for information to drive other tasks. Unfortunately, errors can be pervasive in web applications, impacting their dependability. This paper reports the results of an exploratory study of end-user web application developers, performed with the aim of exposing prevalent classes of errors. The results suggest that end-users struggle the most with the identification and manipulation of variables when structuring requests to obtain data from other web sites. To address this problem, we present a family of techniques that help end user programmers perform this task, reducing possible sources of error. The techniques focus on simplification and characterization of the data that end-users must analyze while developing their web applications. We report the results of an empirical study in which these techniques are applied to several popular web sites. Our results reveal several potential benefits for end-users who wish to “engineer” dependable web applications.