Object-oriented development in an industrial environment
OOPSLA '87 Conference proceedings on Object-oriented programming systems, languages and applications
Object-oriented software engineering
Object-oriented software engineering
Evaluation of evaluation in information retrieval
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Agile software development
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Use Cases: Patterns and Modeling Problems
Use Cases: Patterns and Modeling Problems
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Methods for Evaluating Interactive Information Retrieval Systems with Users
Foundations and Trends in Information Retrieval
Collaborative Information Retrieval in an information-intensive domain
Information Processing and Management: an International Journal
Time drives interaction: simulating sessions in diverse searching environments
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Information access research and development, and information retrieval especially, is based on quantitative and systematic benchmarking. Benchmarking of a computational mechanism is always based on some set of assumptions on how a system with the mechanism under consideration will provide value for its users in concrete situations and those assumptions need to be validated somehow. The valuable effort put into those validation studies is seldom useful for other research or system development projects. This paper argues that use cases for information access can be written to give explicit pointers towards benchmarking mechanisms and that if use cases and hypotheses about user preferences, goals, expectation and satisfaction are made explicit in the design of research systems, they will can more conveniently be validated or disproven -- which in turn makes the results emanating from research efforts more relevant for industrial partners, more sustainable for future research and more portable across projects and studies.