Static Analyser for Java-Based Object-Oriented Software Metrics

Software metrics play a major role In the software development. Not only software metrics help in understanding the size and complexity of software systems, but they are also helpful in improving the quality of software systems. For object-oriented systems, a large number of metrics have been established. These metrics should be supported by automated collection tools. Automated tools are useful for measuring and improving the quality of software systems. One such tool is a static analyser. A static analyser has been developed for a subset of Java language. A number of object-oriented software metrics has been evaluated using attribute grammar approach. Attribute grammar approach is considered as a well-defined approach to the software metrics evaluation since it is based on the measurement of the source code itself. New definitions for a number of object-oriented metrics have been specified using attribute grammars. This tool has been built using C language. Lexical analyser and syntax analyser have been generated using lex and yacc tools under linux operating system. Four object-oriented metrics have been evaluated. These metrics are Depth of Inheritance Tree metric, Number of Children metric, Response For a Class metric, and Coupling Between Object Classes metric. The software metrics will be produced in the common metrics format that is used in SCOPE project

An Evaluation of the Kansas Bioscience Authority: Economic Impact Measures

In the fall of 2011, the Kansas Bioscience Authority (KBA) requested that the University of Kansas Center for Science, Technology & Economic Policy at the Institute for Policy & Social Research provide a review of KBA’s Direct Outcomes Description and Measurement Policy. This policy informs KBA's collection of economic impact data and frames KBA’s policies more generally in light of technology evaluation. This report responds to KBA's request and addresses the following topics: 1) general challenges of technology evaluation; 2) the scope of KBA’s technology programs; 3) the contributions of KBA’s current measures to overall program evaluation; 4) measures that might be added or enhanced in the future; and 5) a comparison of this review to other efforts to evaluate KBA. This report discusses the inherent difficulty of measuring long‐term scientific investments with short‐term indicators of future economic impact. KBA has several programs designed to increase bioscience research, foster commercial development, and attract new ventures to the state of Kansas. Each of these activities requires different metrics to evaluate its overall impact. We reviewed these metrics and compared them to those being collected by similar state agencies as well as the federal STAR METRICS program. Our review shows that KBA collects more metrics than agencies reviewed in other states. KBA also collects many of the indicators used in the federal STAR METRICS program. We recommend that KBA enhance its measures by including additional STAR METRICS measures such as patent citations, scientific publications, and workforce development indicators including students trained in bioscience on KBA funded projects. Although, KBA has been reviewed on two previous occasions, this report provides new information on the quality of the economic impact data they collect. Overall, we find that KBA collects a comprehensive set of outcome measures that span the scope of KBA’s mission and provide the basis for understanding the economic impact of their scientific investments

Player heart rate responses and pony external load measures during 16-goal Polo

This dataset provides information pertaining to the spatiotemporal stresses experienced by Polo ponies in play and the cardiovascular responses to these demands by Polo players, during 16-goal Polo. Data were collected by player-worn GPS units and paired heart rate monitors, across a New Zealand Polo season. The dataset comprises observations from 160 chukkas of Open Polo, and is presented as per chukka per game (curated) and in per effort per player (raw) formats. Data for distance, speed, and high intensity metrics are presented and are further categorised into five equine-based speed zones, in accordance with previous literature. The purpose of this dataset is to provide a detailed quantification of the load experienced by Polo players and their ponies at the highest domestic performance level in New Zealand, as well as advancing the scope of previous Polo literature that has employed GPS or heart rate monitoring technologies. This dataset may be of interest to equine scientists and trainers, veterinary practitioners, and sports scientists. An exemplar template is provided to facilitate the adoption of this data collection approach by other practitioner

Figuring out acquisition models with data: A beginner's approach to analyzing ebooks

As ebook acquisition models are developed and continue to evolve, how can we evaluate our collection acquisition practices to ensure cost effectiveness? Which metrics will be essential to demonstrate a good return on investment? With title, order, and usage information needing to be acquired from different sources, this is not always a straightforward undertaking. Finding a way to accurately synthesize the data in a meaningful way can seem daunting.This poster looks at how the library at Western Carolina University assessed their current methods of acquiring ebooks. The poster will detail the scope of the project, how the data was synthesized, the trends and metrics identified, the recommendations made based on the collected data, and the library’s future plans for assessment

PlumX As a Potential Tool to Assess the Macroscopic Multidimensional Impact of Books

The Supplementary Material for this article can be found online at http://journal.frontiersin.org/article/10.3389/frma.2017.00005/ full#supplementary-material.The main purpose of this macro-study is to shed light on the broad impact of books. For this purpose, the impact of a very large collection of books (more than 200,000) has been analyzed by using PlumX, an analytical tool providing a great number of different metrics provided by various tools. Furthermore, the study also describes the changes in the values of the most significant measures and indicators over time. The results show that the usage counts in comparison to the other metrics are quantitatively predominant. Catalog holdings and reviews represent a book’s most characteristic measures deriving from its increased level of impact in relation to prior results. Our results also corroborate the long half-life of books within the scope of all metrics, excluding views and social media. Despite some disadvantages, PlumX has proved to be a very helpful and promising tool for assessing the broad impact of books, especially because of how easy it is to enter the ISBN directly as well as its algorithm to aggregate all the data generated by the different ISBN variations

Methods and metrics for measuring happiness

In recent years there has been a great deal of focus on defining the notion of happiness. The word "happiness" is used in different ways. In 2011, the UN declared in its resolution the achievement of happiness as a fundamental human goal, and in 2012 announced March 20th for World Happiness Day. This report aims to review the practices of studying and analyzing happiness in specialized literature. The tasks that are set are the following: to review the specialized literature on the variety of happiness measurement practices. Explain the scope and content of the concept of happiness index. Make a detailed survey of metrics, methods and indicators for measuring happiness. Object of research are scientific papers and publications on the issues under consideration. The subject of the study is the scope, content and structure of the happiness indices and the practices of its measurement and analysis. For the collection of empirical information, are used a combination of research methods such as content analysis, synthesis, induction and deduction

NASA In Situ Data Needs to Support the Operational Calibration and Validation of Ocean Color Satellite Data Products

Calibrating ocean color satellite instruments and validating their data products requires temporal and spatial abundances of high quality in situ oceanographic data. The Consortium for Ocean Leadership Ocean Observing Initiative (OOl) is currently implementing a distributed array of in-water sensors that could provide a significant contribution to future ocean color activities. This workshop will scope the optimal way to use and possibly supplement the planned OOl infrastructure to maximize its utility and relevance for calibration and validation activities that support existing and planned NASA ocean color missions. Here, I present the current state of the art of NASA validation of ocean color data products, with attention to autonomous time-series (e.g., the AERONET -OC network of above-water radiometers), and outline NASA needs for data quality assurance metrics and adherence to community-vetted data collection protocol

The relevance of application domains in empirical findings

The term 'software ecosystem' refers to a collection of software systems that are related in some way. Researchers have been using different levels of aggregation to define an ecosystem: grouping them by a common named project (e.g., the Apache ecosystem); or considering all the projects contained in online repositories (e.g., the GoogleCode ecosystem). In this paper we propose a definition of ecosystem based on application domains: software systems are in the same ecosystem if they share the same application domain, as described by a similar technological scope, context or objective. As an example, all projects implementing networking capabilities to trade Bitcoin and other virtual currencies can be considered as part of the same "cryp-tocurrency" ecosystem. Utilising a sample of 100 Java software systems, we derive their application domains using the Latent Dirichlet Allocation (LDA) approach. We then evaluate a suite of object-oriented metrics per ecosystem, and test a null hypothesis: 'the OO metrics of all ecosystems come from the same population'. Our results show that the null hypothesis is rejected for most of the metrics chosen: the ecosystems that we extracted, based on application domains, show different structural properties. From the point of view of the interested stakeholders, this could mean that the health of a software system depends on domain-dependent factors, that could be common to the projects in the same domain-based ecosystem

How to measure influence in social networks?

Today, social networks are a valued resource of social data that can be used to understand the interactions among people and communities. People can influence or be influenced by interactions, shared opinions and emotions. How-ever, in the social network analysis, one of the main problems is to find the most influential people. This work aims to report on the results of literature review whose goal was to identify and analyse the metrics, algorithms and models used to measure the user influence on social networks. The search was carried out in three databases: Scopus, IEEEXplore, and ScienceDirect. We restricted pub-lished articles between the years 2014 until 2020, in English, and we used the following keywords: social networks analysis, influence, metrics, measurements, and algorithms. Backward process was applied to complement the search consid-ering inclusion and exclusion criteria. As a result of this process, we obtained 25 articles: 12 in the initial search and 13 in the backward process. The literature review resulted in the collection of 21 influence metrics, 4 influence algorithms, and 8 models of influence analysis. We start by defining influence and presenting its properties and applications. We then proceed by describing, analysing and categorizing all that were found metrics, algorithms, and models to measure in-fluence in social networks. Finally, we present a discussion on these metrics, al-gorithms, and models. This work helps researchers to quickly gain a broad per-spective on metrics, algorithms, and models for influence in social networks and their relative potentialities and limitations.This work has been supported by IViSSEM: POCI-01-0145-FEDER-28284, COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020