Software Engineering Center Research Articles

Urbanization and Its Potential Impact on the Peak Discharge from the Watershed of the Upper Merced River in California

Urbanization is an unavoidable process that influences many components of a watershed, and thus hydrologic processes are severely affected by changes in land use due to this urbanization. During this study, the objective was to assess the impact of urbanization on the peak discharge of a watershed in accordance with the outcome of this research. For this purpose, Watershed Modeling System (WMS) software and Hydrologic Engineering Center- Hydrologic Modeling System (HEC-HMS) model were used for simulating various land-use scenarios of Merced County, in the central part of California, USA. Simulation results were analyzed to assess the impact of land-use changes on the peak discharge of the watershed. The results showed that approximately 18% peak discharge was increased at the sub-basin level and approximately 2% peak discharge was increased at the final outlet. In the future, the study could help researchers, policymakers, and structural designers to foresee and prevent the unpleasant effects of urbanization so that they can take specific measures to prevent calamities beforehand. Keywords: Watershed-modeling, urbanization, land use, peak discharge, WMS, HEC-HMS. DOI: 10.7176/CER/14-7-02 Publication date: November 30 th 2022

Software development productivity of Japanese enterprise applications

To clarify the relationship between software development productivity and the attributes of a software project, such as business area, programming language and team size, this paper analyzed 211 enterprise application development projects in Japan using a software engineering data repository established by the Software Engineering Center (SEC), Information-Technology Promotion Agency, Japan. In the analysis, we first identified factors that related to productivity based on a parallel coordinate plot (PCP) and a one-way ANOVA. An in-depth analysis on each productivity factor was then conducted by selecting a project subset for each factor so that the effect of other factors is minimized. Our findings include that the average team size was the strongest attribute relating to productivity. The outsourcing ratio (percentage), which can be controlled by software development companies, and the business sector both showed a moderate relationship to productivity. Finally, product size (FP), the duration of development and the programming language were only weakly related to productivity.

Achieving synergy in collaborative education

Professional software engineering continues to face problems that involve large-scale (complex) software systems development. Such efforts typically require team collaboration over months, possibly years. Once implemented, the system must be maintained for sometimes decades. This development and maintenance life cycle requires not only technical knowledge and skills in software development, but also the knowledge and skills associated with software process. We believe the traditional computer science curriculum fails to consider this spectrum of needs. We also believe, however, that software engineering must use certain elements of the core knowledge and skills taught by computer scientists as its foundation. We describe lessons learned from the 10-year collaboration between Monmouth University and the Software Engineering Center of the US Army's CECOM (Communications Electronics Command). The center recruits electrical engineering and computer science graduates from academic institutions in the geographic regions surrounding its various installations to be part of its intern program; Monmouth University, in turn, incorporates the demands of the intern program in its Master of Science in software engineering curriculum.

A general algorithm fob, univariate and multivariate goodness of pit tests based on graphical representation

This paper presents a general algorithm tor assessing the distributional assumptions. Empirical distributions of the corresponding test statistics are obtained and examples are given to illustrate various applications of the proposed test. By using the squared radii and angles, it is shown that the problem of assessing multivariate normality can be reduced to that of testing for a univariate distribution. A limited comparison is made to investigate the power of the proposed test. This work was supported in part by the National Science Foundation under Grant NO.G88135. Support from the Computer Applications ami Software Engineering (CASE) Center of Syracuse University is also gratefully acknowledged

Impact of computers on chemistry examined

How computers have affected industrial and academic chemical research, chemical education, and chemical information management is a question explored over four days of sessions sponsored by the Computer Secretariat. Actually, said George Levy of Syracuse University, chemists today see only the impact of computer technology that is three or more years old. Levy, who is both science and technology professor and director of the Computer Applications & Software Engineering (CASE) Center at Syracuse, said that this year's graphics supercomputers provide chemists with a link from computer to eye to mind. At last, chemists can perform fast, three-dimensional rotations of high molecular weight molecules whose atoms are rendered as space-filling, shaded spheres. They can also show solvation effects and dock molecules together to test for fits of drug candidates with receptors. Indeed, Levy's audience could ride the escalator one floor up from the room where he spoke to the exposition hall and watch computers doi...