In general, estimating software effort using a Use Case Point (UCP) size requires the use of productivity as second prediction factor. However, there are three drawbacks to this approach: (1) is no clear procedure for predicting in early stages, (2) fixed or limited ratios does not allow research reflect realities industry, and (3) from historical data often challenging. The new UCP datasets no...

We investigate how and why the productivity of a worker varies as a function of the productivity of her co-workers in a group production process. In theory, the introduction of a high productivity worker could lower the effort of incumbent workers because of free riding; or it could increase the effort of incumbent workers because of peer effects induced by social norms, social pressure, or lea...

We investigate how and why the productivity of a worker varies as a function of the productivity of her co-workers in a group production process. In theory, the introduction of a high productivity worker could lower the effort of incumbent workers because of free riding; or it could increase the effort of incumbent workers because of peer effects induced by social norms, social pressure, or lea...

Software size is the fundamental metric for project planning. Effort and duration are calculated based on the size estimate. However, for a given software size, the actual development effort could be significantly different. The question is whether the increase in effort is due to the low productivity of the development team or higher product quality. While higher product quality is highly desi...

With increasing expenses for future HPC centers, the need to look at their productivity, defined as amount of science per total cost of ownership (TCO), grows. This includes development costs which arise from development effort spent to parallelize, tune or port an application to a certain architecture. Development effort estimation is popular in software engineering, but cannot be applied dire...

The most common benchmarks for faculty productivity are derived from Medical Group Management Association (MGMA) or Vizient-AAMC Faculty Practice Solutions Center (FPSC) databases. The Association of Pathology Chairs has also collected similar survey data for several years. We examined the Association of Pathology Chairs annual faculty productivity data and compared it with MGMA and FPSC data t...

We test predictions from theories of tournament, fairness and tastes for skewness about the effects of pay spread and skewness on employee effort and firm productivity. The data come from the population of 6,501 medium-to-large sized Danish private sector firms matched with all their employees during 1992-95. Potential simultaneity problems are addressed by instrumental variables provided by in...

The most common benchmarks for faculty productivity are derived from Medical Group Management Association (MGMA) or Vizient-AAMC Faculty Practice Solutions Center® (FPSC) databases. The Association of Pathology Chairs has also collected similar survey data for several years. We examined the Association of Pathology Chairs annual faculty productivity data and compared it with MGMA and FPSC data ...

Estimating effort and quality of developed software has been a demanding task for project managers. Many models based on different approaches have been proposed to solve this problem. Most of them dealt only with one of either estimating effort or quality. Our aim is to develop a causal model capturing both of these and enabling trade-off analysis between the functionality, effort and quality. ...

We investigate the disciplining role of debt in the publicly held firm by examining the relation between employee productivity and financial leverage. The unique feature of our study is that we incorporate outside employment opportunities for employees into the analysis. Consistent with the notion that the debt serves as a bonding mechanism because agents exert additional effort to avoid the pe...