Directed Test Suite Augmentation

As software evolves, engineers use regression testing to evaluate its fitness for release. Such testing typically begins with existing test cases, and many techniques have been proposed for reusing these cost-effectively. After reusing test cases, however, it is also important to consider code or behavior that has not been exercised by existing test cases and generate new test cases to validate these. This process is known as test suite augmentation. In this paper we present a directed test suite augmentation technique, that utilizes results from reuse of existing test cases together with an incremental concolic testing algorithm to augment test suites so that they are coverage-adequate for a modified program. We present results of an empirical study examining the effectiveness of our approach.

Master Conservationist Awards

It is a distinct pleasure to be with you this evening to present the Master Conservationist awards. I appreciate the opportunity to recognize those who have gone the extra mile to enhance Nebraska's natural resources and our way of life. Their efforts take on even more importance in a year like this when drought conditions have threatened field crops, pastures, and rangeland, as well as water for livestock and the citizens of our state. Times like this underscore how important it is for us to recognize the delicate balance of nature. The Master Conservationists we honor tonight have long-recognized the need for windbreaks to protect both crops and soils. They understand the benefits of controlled-grazing to maintain grass and protect the soil, as well as to provide forage in the future. Others have installed terraces and grassed waterways on fragile land, as well as reuse pits for irrigation water. Riverbanks have been restored and wildlife habitats have been developed. These practices and many others always are important, they take on new meaning in stressful periods like the one of 2002.

Analysis and Transformation of Pipe-like Web Mashups for End User Programmers

Mashups are becoming increasingly popular as end users are able to easily access, manipulate, and compose data from several web sources. To support end users, communities are forming around mashup development environments that facilitate sharing code and knowledge. We have observed, however, that end user mashups tend to suffer from several deficiencies, such as inoperable components or references to invalid data sources, and that those deficiencies are often propagated through the rampant reuse in these end user communities. In this work, we identify and specify ten code smells indicative of deficiencies we observed in a sample of 8,051 pipe-like web mashups developed by thousands of end users in the popular Yahoo! Pipes environment. We show through an empirical study that end users generally prefer pipes that lack those smells, and then present eleven specialized refactorings that we designed to target and remove the smells. Our refactorings reduce the complexity of pipes, increase their abstraction, update broken sources of data and dated components, and standardize pipes to fit the community development patterns. Our assessment on the sample of mashups shows that smells are present in 81% of the pipes, and that the proposed refactorings can reduce that number to 16%, illustrating the potential of refactoring to support thousands of end users developing pipe-like mashups.