The status of Object-oriented Software Reuse and Reusability Assessment in the Kenyan Software Engineering Industry

There are published claims of widespread ad-hoc reuse within the software Engineering industry—a situation that has caused organizations not to gain optimal benefits from reuse. The general impression created by literature is that, software developers hardly consider the concept measurement as a way of assessing reusability of developed software, thus the resulting software lack adequate reusability. This result to a common conclusion that, the software Engineering industry is still grappling with software development challenges that reuse is intended to solve. The purpose of this paper is to provide empirical evidence on the status of reuse and reusability assessment, which should form a basis for addressing the problems that hinder effective reuse. This paper reports the findings of an empirical study that surveyed software developers who had knowledge in OO software development. From the analysis of fifty-four (54) valid responses, the study establishes the status of reuse and reusability assessment, as well as the perceptions and awareness of OO developers on the concept of software measurement, with regards to software quality. Based on the findings of the survey, we give recommendations on how organizations can improve the reuse practice. Keywords: Software reuse, Software reusability, Software Metrics, Software Measuremen

Towards an assessment framework of reuse: A Knowledge Level Analysis Approach

The process of assessing the suitability of reuse of a software component is complex. Indeed, software systems are typically developed as an assembly of existing components. The complexity of the assessment process is due to lack of clarity on how to compare the cost of adaptation of an existing component versus the cost of developing it from scratch. Indeed, often pursuit of reuse can lead to excessive rework and adaptation, or developing suites of components that often get neglected. This paper is an important step towards modelling the complex reuse assessment process. To assess the success factors that can underpin reuse, we analyze the cognitive factors that belie developers\u27 behavior during their decision-making when attempting to reuse. This analysis is the first building block of a broader aim to synthesize a framework to institute activities during the software development lifecycle to support reuse

The Factors Influence Intention Reuse Train Transportation Service In Indonesia

This study aims that service quality and customer experience have an intention to reuse Indonesian train transportation services. The method of this research is data analysis using quantitative methods including validity and reliability tests, classical assumption tests, multiple linear regression, and hypothesis testing tested with SPSS25 software.  In the results of the services provided by Tanjungbalai train station employees have met the quality standards expected by passengers as evidenced by the results above which state that Service Quality has an effect on passenger reuse intentions. The opinions conveyed by economy class train passengers at Tanjungbalai station through questionnaires distributed on their assessment of the Customer Experience variable are correct that the experience of individuals and others will affect their intention to reuse the same service

IDENTIFICATION AND QUANTIFICATION OF VARIABILITY MEASURES AFFECTING CODE REUSABILITY IN OPEN SOURCE ENVIRONMENT

Open source software (OSS) is one of the emerging areas in software engineering, and is gaining the interest of the software development community. OSS was started as a movement, and for many years software developers contributed to it as their hobby (non commercial purpose). Now, OSS components are being reused in CBSD (commercial purpose). However, recently, the use of OSS in SPL is envisioned recently by software engineering researchers, thus bringing it into a new arena. Being an emerging research area, it demands exploratory study to explore the dimensions of this phenomenon. Furthermore, there is a need to assess the reusability of OSS which is the focal point of these disciplines (CBSE, SPL, and OSS). In this research, a mixed method based approach is employed which is specifically 'partially mixed sequential dominant study'. It involves both qualitative (interviews) and quantitative phases (survey and experiment). During the qualitative phase seven respondents were involved, sample size of survey was 396, and three experiments were conducted. The main contribution of this study is results of exploration of the phenomenon 'reuse of OSS in reuse intensive software development'. The findings include 7 categories and 39 dimensions. One of the dimension factors affecting reusability was carried to the quantitative phase (survey and experiment). On basis of the findings, proposal for reusability attribute model was presented at class and package level. Variability is one of the newly identified attribute of reusability. A comprehensive theoretical analysis of variability implementation mechanisms is conducted to propose metrics for its assessment. The reusability attribute model is validated by statistical analysis of I 03 classes and 77 packages. An evolutionary reusability analysis of two open source software was conducted, where different versions of software are analyzed for their reusability. The results show a positive correlation between variability and reusability at package level and validate the other identified attributes. The results would be helpful to conduct further studies in this area

Software Reuse in Agile Development Organizations - A Conceptual Management Tool

The reuse of knowledge is considered a major factor for increasing productivity and quality. In the software industry knowledge is embodied in software assets such as code components, functional designs and test cases. This kind of knowledge reuse is also referred to as software reuse. Although the benefits can be substantial, software reuse has never reached its full potential. Organizations are not aware of the different levels of reuse or do not know how to address reuse issues. This paper proposes a conceptual management tool for supporting software reuse. Furthermore the paper presents the findings of the application of the management tool in an agile development organization

Software Process Assessment (SPA)

NASA's environment mirrors the changes taking place in the nation at large, i.e. workers are being asked to do more work with fewer resources. For software developers at NASA's Goddard Space Flight Center (GSFC), the effects of this change are that we must continue to produce quality code that is maintainable and reusable, but we must learn to produce it more efficiently and less expensively. To accomplish this goal, the Data Systems Technology Division (DSTD) at GSFC is trying a variety of both proven and state-of-the-art techniques for software development (e.g., object-oriented design, prototyping, designing for reuse, etc.). In order to evaluate the effectiveness of these techniques, the Software Process Assessment (SPA) program was initiated. SPA was begun under the assumption that the effects of different software development processes, techniques, and tools, on the resulting product must be evaluated in an objective manner in order to assess any benefits that may have accrued. SPA involves the collection and analysis of software product and process data. These data include metrics such as effort, code changes, size, complexity, and code readability. This paper describes the SPA data collection and analysis methodology and presents examples of benefits realized thus far by DSTD's software developers and managers

Reuse potential assessment framework for gamification-based smart city pilots

The paper proposes a unified framework for assessing the re-use potential for the Smart Engagement Pilot currently being realized in the city of Ghent (Belgium). The pilot aims to stimulate the digital engagement in users (citizens) by involving them in online and offline communities, and increasing the social capital through the use of ICT (Information and Communications Technology). To engage the citizens, the pilot makes use of Gamification based entities (intelligent wireless sensors) embedded in public hardware, through which innovative games are organized in places of interest (neighbourhood, parks, schools, etc.). Once finished, this pilot will be re-used in other European cities under the context of CIP SMART IP project. Since, the success of a pilot in one city doesn't guarantee its success in the other, an objective socio-economic-organizational reuse assessment becomes critical. To do this assessment, we propose a framework, which uses a Key Performance Indicator (KPI) based scorecard to determine the roadblocks and battlefields that could deter such a transition

SLiCE: An Open Data Model for Scalable High-Definition Life Cycle Engineering, Hotspot Analysis and Dynamic Assessment of Buildings.

Abstract Building construction and operation are responsible for around 40% of global energy-related greenhouse gas emissions. To identify emissions reduction and removal potentials as well as wider environmental impacts, researchers, policy, and decision makers need comprehensive life cycle sustainability assessment insights on individual buildings and building stocks at large. This article proposes a data model for scalable, high-definition life cycle analysis of building – the SLiCE data model – as a promising solution to overcome the limitations identified for existing models. The article conceptualizes the problem within the Space-Time-Indicator Nexus; presents the proposed SLiCE data structure; and showcases practical uses of SLiCE data for environmental hotspot analysis as well as for dynamic assessment of climate impacts. The open SLiCE data model and SLiCE hotspot analysis tool are henceforth available for implementation within life cycle assessment of building and building stocks, enabling comprehensive insights on buildings’ environmental impacts across spatiotemporal scales. Software and data availability The SLiCE building data model as well as the presented implementation in the SLiCE hotspot analysis prototype are open source and available with this article. The SLiCE hotspot analysis, implemented as an IPython Jupyer Notebook with interactive widgets, tool is available on Github (https://github.com/mroeck/slice_hotspots/), with the submission pre-release published via Zenodo (https://zenodo.org/badge/latestdoi/645859866). All items are published under a GNU General Public License v3.0. We encourage you to review, reuse, and refine the model and scripts and share-alike. Preprint (not peer-reviewed) Röck M, Passer A, Allacker K. “SLiCE: An Open Data Model for Scalable High-Definition Life Cycle Engineering, Hotspot Analysis and Dynamic Assessment of Buildings.” 2023, Preprint DOI: https://doi.org/10.5281/zenodo.836924

AM-OER: An Agile Method for the Development of Open Educational Resources

Open Educational Resources have emerged as important elements of education in the contemporary society, promoting life-long and personalized learning that transcends social, eco- nomic and geographical barriers. To achieve the potential of OERs and bring impact on education, it is necessary to increase their development and supply. However, one of the current challenges is how to produce quality and relevant OERs to be reused and adapted to different contexts and learning situations. In this paper we proposed an agile method for the development of OERs – AM-OER, grounded on agile practices from Software Engineering. Learning Design practices from the OULDI project (UK Open University) are also embedded into the AM-OER aiming at improving quality and facilitating reuse and adaptation of OERs. In order to validate AM-OER, an experiment was conducted by applying it in the development of an OER on software testing. The results showed preliminary evidences on the applicability, effectiveness and ef ciency of the method in the development of OERs