Test-driven code search (TDCS) is an approach to code search and reuse that uses test cases as inputs to form the search query. Together with the test cases that provide more semantics to the search task, keywords taken from class and method names are still required. Therefore, the effectiveness of the approach also relies on how good these keywords are, i.e., how frequently they are chosen by ...

We estimate a behavioral New Keynesian (NK) model in which households and firms plan over finite horizon. The finite-horizon planning (FHP) outperforms rational expectations versions of the NK as well other models. In FHP model, are forward-looking thinking about events their horizon but backward-looking regarding beyond that point. This gives rise to substantial aggregate persistence without r...

We propose a Bayesian approach to test the New Keynesian Phillips Curve (NKPC) both as an exact relation and as a noisy/potentially misspecified model. We do so in order to reconcile the contradicting evidence that the NKPC is rejected by a Wald test but nevertheless it provides a good approximation of inflation dynamics. We apply the proposed approach to US and EMU data. When the NKPC is teste...

After years of missing the agreed upon goals for carbon reduction, we might conclude that global climate policies set infeasible standards to halt change. The widespread non-compliance many signees with frameworks such as Paris Agreement indicates these were too optimistic regarding signees’ motivation act. One suggested ways out this impasse, is geoengineering, which seen a “techno-fix” proble...

In this paper a new method based on fuzzy theory is developed to solve the project scheduling problem under fuzzy environment. Assuming that the duration of activities are trapezoidal fuzzy numbers (TFN), in this method we compute several project characteristics such as earliest times, latest times, and, slack times in term of TFN. In this method, we introduce a new approach which we call modif...