Community-based question answering services accumulate large volumes of knowledge through the voluntary services of people across the globe. Stack Overflow is an example of such a service that targets developers and software engineers. In general, questions in Stack Overflow are answered in a very short time. However, we found that the number of unanswered questions has increased significantly in the past two years. Understanding why questions remain unanswered can help information seekers improve the quality of their questions, increase their chances of getting answers, and better decide when to use Stack Overflow services. In this paper, we mine data on unanswered questions from Stack Overflow. We then conduct a qualitative study to categorize unanswered questions, which reveals characteristics that would be difficult to find otherwise. Finally, we conduct an experiment to determine whether we can predict how long a question will remain unanswered in Stack Overflow.
<p>Automated Theorem Proving systems are enormously powerful computer programs capable of solving immensely difficult problems. The extreme capabilities of these systems lie on some well-established proof systems, such as Semantic tableau. It is used to prove the validity of a formula by contradiction and it can produce a counterexample if it fails. It can also be used to prove whether a formula is a logical consequence of a set of formulas. Tableau can be used in propositional logic, predicate logic, modal logic, temporal logic, and in other non-classical logics. In this article, we describe a detailed implementation of a sequential tableau algorithm for propositional and first order logic using a procedural language rather then logic programming language. We also illustrate a tableau based proof system in a distributed environment using the Message Passing Interface. This paper also investigates two distinct approaches for parallel and distributed implementation and describes the experimental formula generation procedure. The proposed high performance approach will un-wrap an efficient paradigm for automated theorem proving.</p>
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