Analysis of Computer Science Communities Based on DBLP

It is popular nowadays to bring techniques from bibliometrics and scientometrics into the world of digital libraries to analyze the collaboration patterns and explore mechanisms which underlie community development. In this paper we use the DBLP data to investigate the author's scientific career and provide an in-depth exploration of some of the computer science communities. We compare them in terms of productivity, population stability and collaboration trends.Besides we use these features to compare the sets of topranked conferences with their lower ranked counterparts.Comment: 9 pages, 7 figures, 6 table

Models and metrics for software management and engineering

This paper attempts to characterize and present a state of the art view of several quantitative models and metrics of the software life cycle. These models and metrics can be used to aid in managing and engineering software projects. They deal with various aspects of the software process and product, including resources allocation and estimation, changes and errors, size, complexity and reliability. Some indication is given of the extent to which the various models have been used and the success they have achieved

Hydrology and water quality of a field and riparian buffer adjacent to a mangrove wetland in Jobos Bay watershed, Puerto Rico

Agriculture in coastal areas of Puerto Rico is often adjacent to or near mangrove wetlands. Riparian buffers, while they may also be wetlands, can be used to protect mangrove wetlands from agricultural inputs of sediment, nutrients, and pesticides. We used simulation models and field data to estimate the water, nitrogen, and phosphorus inputs from an agricultural field and riparian buffer to a mangrove wetland in Jobos Bay watershed, Puerto Rico. We used the Agricultural Policy/Environmental eXtender (APEX) and the Riparian Ecosystem Management Model (REMM) models sequentially to simulate the hydrology and water quality of the agricultural fields and an adjacent riparian buffer, respectively. Depth to the water table surface was measured monthly at numerous sites in both field and riparian areas and were used with recording well data from outside the field to estimate daily water table depths in the field and riparian buffer and to calibrate field-scale hydrologic processes. Calibration and validation of the models were successful for the riparian buffer and in three of four field quadrants. In these areas the average simulated depth to water table for the field and the riparian buffer were within ±7% of field estimated water table depths. Over the 3-year study period, the riparian buffer represented by REMM reduced agricultural loadings to the mangrove wetland by 24% for sediment yield, and about 30% for total nitrogen and phosphorus. Simulations indicated that tropical storms and hurricanes played an important role in water and nutrient transport on this site contributing at least 63% of total sediment and nutrient loads

Peer-selected "best papers" - are they really that "good"?

Background Peer evaluation is the cornerstone of science evaluation. In this paper, we analyze whether or not a form of peer evaluation, the pre-publication selection of the best papers in Computer Science (CS) conferences, is better than random, when considering future citations received by the papers. Methods Considering 12 conferences (for several years), we collected the citation counts from Scopus for both the best papers and the non-best papers. For a different set of 17 conferences, we collected the data from Google Scholar. For each data set, we computed the proportion of cases whereby the best paper has more citations. We also compare this proportion for years before 2010 and after to evaluate if there is a propaganda effect. Finally, we count the proportion of best papers that are in the top 10% and 20% most cited for each conference instance. Results The probability that a best paper will receive more citations than a non best paper is 0.72 (95% CI = 0.66, 0.77) for the Scopus data, and 0.78 (95% CI = 0.74, 0.81) for the Scholar data. There are no significant changes in the probabilities for different years. Also, 51% of the best papers are among the top 10% most cited papers in each conference/year, and 64% of them are among the top 20% most cited. Discussion There is strong evidence that the selection of best papers in Computer Science conferences is better than a random selection, and that a significant number of the best papers are among the top cited papers in the conference.Peer evaluation is the cornerstone of science evaluation. In this paper, we analyze whether or not a form of peer evaluation, the pre-publication selection of the best papers in Computer Science (CS) conferences, is better than random, when considering fu103112sem informaçãosem informaçã

A Configuration Taxonomy of Business Process Orientation

Organizations strive to develop a variety of capabilities to improve and measure business processes. Researchers have used various maturity models to investigate the development of a business process orientation (BPO), and most have argued that such a development comes in stages. Current literature underestimates the interrelationships between BPO capabilities and fails to consider multidimensional or non-linear paths to maturity. To refine the features of maturity models, this study relies on configuration theory to uncover different archetypes for BPO development and quantitatively evaluate them by examining performance differences among archetypes based on a large-scale international dataset. The resulting empirical taxonomy with seven BPO archetypes establishes important performance differences between organizations at a similar maturity level. Besides strengthening the theoretical foundations of BPO and making maturity assessments more multifaceted, the results help organizations give their managerial efforts a focus by enabling comparison with peers in the same archetype and showing various paths for BPO improvement

Report of the Working Group for North-east Atlantic Continental Slope Survey (WGNEACS) [8–10 June 2010, ICES HQ, Copenhagen, Denmark]

Contributors: Thomas de Lange Wenneck, Elvar Halldor Hallfredsso

Author-Based Analysis of Conference versus Journal Publication in Computer Science

Conference publications in computer science (CS) have attracted scholarly attention due to their unique status as a main research outlet unlike other science fields where journals are dominantly used for communicating research findings. One frequent research question has been how different conference and journal publications are, considering a paper as a unit of analysis. This study takes an author-based approach to analyze publishing patterns of 517,763 scholars who have ever published both in CS conferences and journals for the last 57 years, as recorded in DBLP. The analysis shows that the majority of CS scholars tend to make their scholarly debut, publish more papers, and collaborate with more coauthors in conferences than in journals. Importantly, conference papers seem to serve as a distinct channel of scholarly communication, not a mere preceding step to journal publications: coauthors and title words of authors across conferences and journals tend not to overlap much. This study corroborates findings of previous studies on this topic from a distinctive perspective and suggests that conference authorship in CS calls for more special attention from scholars and administrators outside CS who have focused on journal publications to mine authorship data and evaluate scholarly performance

Impacts of the sustainable forestry initiative landscape level measures on hydrological processes

The effects on hydrological processes of the application of the landscape level measures included in the sustainable forestry initiative (SFI) program were analyzed through simulation. A landscape scenario where limitation of harvesting units’ size, imposition of a green-up interval, and establishment of streamside management zones (SMZ) were simulatedwas compared with a reference scenario where no SFI rules were followed. An intensively managed forested landscape located in East Texas, USA, was used as the study area. The HARVEST landscape model was used to simulate landscape pattern and a modified version of the APEX model was used to simulate hydrological processes. Water and sediment yields were generally small within the observation period and most of the runoff and erosion observed occurred during intense storm events. Water and sediment yield at the subarea level and water yield at the watershed level were similar in both scenarios. However, sediment yield at the watershed level was higher in the non-SFI scenario. The differences were due to the reduction in channel erosion resulting from the presence of SMZs. The effect of buffer zones in terms of sediment deposition was not different between scenarios, which can be attributed to the level slopes of the study area. Landscape measures of the SFI program, namely buffer zones, seem important in reducing channel degradation, particularly during major storm events, in intensively managed forest landscapes in East Texas.PRODEP II

Collaborative authorship patterns in computer science publications

Based on the analysis of data we observe that the share of single-authored papers was significantly high in theoreticalcomputer science, while collaborative efforts dominate computer science system research like PL, AI, ML, etc.Collaborative authorship is higher in journals over conferences. Further, values of collaborative indicators are also high forjournals except for the Machine Learning (ML) subfield. In addition, the author distribution patterns are different forconferences and journals. The findings also exhibited diversity in authorship trends across sub-fields of CS research. Ourresults show collaboration trends in conferences and journals of major CS subfields. Such collaborative patterns benefit thefunding agency, policymakers, scientific community, and researchers to plan and execute their research