The paper presents an approach to combine knowledge from memory and brain sciences with information retrieval research in the design of Web agents. An information retrieval agent f...
We present a software defect prediction model using operating characteristic curves. The main idea behind our proposed technique is to use geometric insight in helping construct a...
There are some barriers that prevent effective and systematic reuse. These barriers are produced by the need of introducing new methods for reuse development and especially by the...
This paper studies the influence of lexical semantic knowledge upon two related tasks: ad-hoc information retrieval and text similarity. For this purpose, we compare the performa...
The proposed research defines an approach to combine Information Retrieval based analysis of the textual information embedded in software artifacts with program static and dynamic...
The paper presents a semi-automated technique for feature location in source code. The technique is based on combining information from two different sources: an execution trace, ...
Ontology integration, alignment, and reuse are at the heart of Semantic Web vision. The alignment between two ontologies can be achieved easily provided both share the same axioma...
We show that the standard memory-based collaborative filtering rating prediction algorithm using the Pearson correlation can be improved by adapting user ratings using linear reg...
The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search...
As design complexities increase exponentially, automotive designers need integrated tool environments enabling system-level analyses of alternative architectural solutions. Hence,...
Paolo Giusto, Sri Kanajan, Claudio Pinello, Max Ch...