The Future of Hybrid Software Development: Challenging Current Assumptions

The adoption of agility at a large scale often requires the integration of agile and non-agile development practices into hybrid software development and delivery environment. This chapter addresses software testing related issues for Agile software application development. Currently, the umbrella of Agile methodologies (e.g. Scrum, Extreme Programming, Development and Operations – i.e., DevOps) have become the preferred tools for modern software development. These methodologies emphasize iterative and incremental development, where both the requirements and solutions evolve through the collaboration between cross-functional teams. The success of such practices relies on the quality result of each stage of development, obtained through rigorous testing. This chapter introduces the principles of software testing within the context of Scrum/DevOps based software development lifecycle.

The paper focuses on enhancing the current or modern software development practices in Information Technology (IT) organizations. The research paper aims to address the gap between various hybrid software development approaches and existing practices that contribute to software development practices. The methodology adopted here is to obtain data from software professionals and understand how the current practices in the software development industry have contributed to the productivity of the employees and the IT organization, which has been done with the help of a survey questionnaire and by analyzing existing research articles and papers on the software development practices. This research is a conceptual model focused on a modern hybrid approach for software development, rather than focusing on a single software development approach, which can help IT organization increase productivity and deliver business value beyond customer expectations. The cost to build and time to market a software product or a software service can reduce by integrating the required software development practices. Today, staying relevant in the competitive market can be made easier by choosing the best available software development practices, frameworks, and models to fit an organization’s value and knowledge system. The conceptual model aims to reduce the gap between various hybrid software development approaches and existing practices contributing to software development. The paper concludes by discussing the benefits of the hybrid software development approach and urge IT organizations to adopt it as per their software development requirements and customer requirements.

This is the second part of our Special Issue on Innovative Automated Software Engineering Tools. Over 30 papers were submitted to the special issue, demonstrating the key role that tools have in the ASE research and practice communities. The five accepted papers appearing in this second part of the special issue underwent rigorous refereeing, major and minor revisions and then were selected for their scientific contributions. Coincidentally the papers cover an interesting range of ASE tool application areas, including model-based testing, embedded software engineering, symbolic execution and model checking, process-centred environments, and software evolution. Several of these innovative tools adopt service-based and compositional approaches to tool integration. Most have been validated not only on academic problems but also with significant industrial applications and software teams. We would like to thank very much the efforts of all authors of papers both appearing in the special issue, but also those whose work we were unable to accept. We also would like to thank the large number of referees from the automated software engineering community who we had to draw upon very heavily in this process. Finally, we thank Anand David from Springer for excellent assistance with editorial system management and production work, and Bob Hall for having the faith in us to Guest Edit this special issue.

Preface: Special issue on software verification and testing

Preface: Volume 44, Issue 3

Software testing process is an important factor affecting the quality of software testing, which plays an important role in the entire software development life cycle. In order to achieve a precise result of testing, different software testing process model will be chosen in different software development process for testing. Traditional testing process model will be chosen in traditional software development, and agile testing process model will be chosen in agile software development. However, there is no kind of testing process model proposed for a special software development which is a combination of traditional software development and agile software development. This article will propose a hybrid software testing process model aiming at a combination of traditional software development model and agile software development model. In the following sections, traditional testing process model and agile testing process model will be introduced respectively in the first place. Most attentions will be paid to the introduction and analysis of the hybrid software testing process model through one case. Furthermore, we will discuss the relationship of the data tracing involved in the testing process model.

Analytical Ultracentrifugation

Mobile systems and mobile applications have gained a lot of attention both in research and industry over the last years. The market share of mobile devices is constantly growing. More and more, users expect their mobile devices to provide functionality similar to the one they know from their desktop computers, but also to provide additional, mobile device specific functionality, like location based services. However, software development for mobile devices is still cumbersome and a methodology geared towards supporting the development of such mobile applications is still lacking. While there is broad agreement that developing for mobile devices is more difficult than traditional software engineering, we lack a precise understanding that goes beyond anecdotic evidence of why this is the case and how the situation can be ameliorated. We do not precisely know where and how the development of mobile application differs from “normal” software development and where new methodologies are needed. Aspects that need to be addressed in this context are, among others, the questions of software architectures for mobile applications, approaches to the software design for mobile applications and how the consequences of being mobile, e. g., changing location, changing context, changing connectivity, heterogeneous software and platforms influence the software development process and what design approaches do reflect the specialties of mobile applications and systems appropriately. While this special issue cannot provide a definite or complete answer to these questions, it does provide answers to some important aspects. In the following, we will first try to get a more thorough understanding of some of the main differences between mobile and classical application development and will then discuss how the papers contained in this special issue address these differences.

CT Colonography evolution

Li, D.-L., 2019. Development of intelligent marine traffic service application software for Haikou Bay. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 490–494. Coconut Creek (Florida), ISSN 0749-0208.Intelligent maritime traffic management platform can greatly improve the service efficiency and the shipping security of maritime transport industries. In fact, it is more significant for the development of maritime traffic industry. This paper devises an intelligent and integrated VTS information platform for marine transport service in Haikou Bay based on the traditional VTS system, builds a GIS-T-based VTS architecture, and proposes an intelligent VTS ship traffic prediction algorithm based on the grey system theory adaptive GM (1,1) model. The findings show that, in relation to the traditional VTS, the GIS-T-based VTS architecture has a better effect in spatial data management and analysis, and the algorithm based on GM (1,1) model renders a higher prediction precision, thereby effectively improving the marine transport intelligence level in Haikou Bay. This study has borne another one theoretical and practical fruit for the intelligent marine transport services and has a certain application value.

Software engineering, in applying engineering to software, advocates the application of systematic, disciplined, quantifiable approaches to development, operation, and maintenance of software. Software engineering is also considered a transformational process that models the real world on a corresponding software world. Recent advances in software engineering applied to Web intelligence have been recognized as a wave in scientific research and development, exploring basic roles and practical impact of advanced information technology on next-generation Web-empowered products, systems, and services. Various web systems and services currently provide many benefits to users, with Web intelligence becoming increasingly important in research and business. Such Web intelligent systems have been realized through related technologies as software engineering, interactive machine learning, etc. This special issue brings together researchers who have inspired software engineering in Web intelligence. Submissions have been reviewed for relevance, originality, significance, and presentation based on JACIII review criteria. This special issue presents four papers describing outstanding studies on project management, service-oriented architecture, semantic Web technologies, and service composition planning in Web intelligence. All papers introduce promising approaches and interesting results that readers will find highly relevant! We believe that software engineering in Web Intelligence has tremendous potential as a new, active research field, and we hope this issue will motivate researchers to expand their own studies on software engineering in Web Intelligence.

Community-based development through collaboration amongst software developers and researchers distributed globally has led to a wealth of feature-rich applications of Free and Open Source Software for Geoinformatics (FOSS4G). In the FOSS4G, development model online source code repository, mailing lists, and a Wiki provide the software developers and users with a virtual and ubiquitous platform for the implementation of new methods, algorithms, and tools as well as for refinement and enhancements of the existing code. For end users, this development model provides highly interoperable, sophisticated software at no cost. This approach is both flexible and immune to vendor lock-ins. Further, the reproducibility of results and quality assessment of methods is greatly facilitated since full access to the underlying algorithms is guaranteed. The source code is typically published under free and open source software licenses with end-user rights to run the program for any purpose, to study how the program works, to adapt it, and to redistribute copies including modifications. The FOSS4G offers software libraries for map projection and data format conversion, desktop Geographic Information Systems (GIS), Web mapping/Web–GIS, spatial databases, geostatistics, and metadata catalogues. Most FOSS4G software packages run natively on common operating systems and may be installed and used without restriction in any commercial or non-commercial environment at no cost for the end users. Open Source Geospatial Foundation (OSGeo, http:// www.osgeo.org) serves as an umbrella organization whose mission is to support the collaborative development of FOSS4G and promote their widespread use. OSGeo provides a common forum and shared infrastructure for improving cross-project collaboration. Acceptance of a project to OSGeo depends on a successful incubation process which includes a detailed source code audit to identify any license incompatibilities in the code. This incubation process also confirms that the project is supported by a healthy community, including validation of the rules and processes governing the project's management. Since its inception in 2006, OSGeo has been providing organizational support for building a vibrant international community to advance geospatial technologies and solutions using open source software, open data and open standards. This special issue is brought forth with the aim of presenting the rich capabilities of FOSS4G to foster original research and enable deployment of innovative solutions. The issue covers a broad range of topics, highlighting the diversity of methods, tools, and applications of FOSS4G. The first two papers introduce new tools and applications for vegetation analysis, first as a M. A. Brovelli (*) Environmental, Hydraulic, Infrastructures and Surveying Engineering Department, Politecnico di Milano-Campus Como, Via Natta 12/14, 22100 Como, Italy e-mail: maria.brovelli@polimi.it

This special issue of EMSE comprises four selected papers on program comprehension, an unusually wide-ranging research area within software engineering. It encompasses the human activities of comprehending software, the technologies for supporting the program comprehension, and their evaluation. It is notable for combining aspects of cognitive psychology, tool design, and empirical study of users, tools, and software artifacts. In “High-MCC Functions in the Linux Kernel”, the authors challenge the assumption that functions with high values of McCabe Cyclomatic Complexity (MCC) are likely to be problematic to understand and maintain. They explore the nuances of what a high MCC value might mean, and examine functions from the Linux kernel with high MCC values. They find that often the structure of these functions is found to be easy to understand by users, leading to the conclusion that syntactic measures alone may not be a good metric for understandability. In “Measuring and Modeling Programming Experience”, the authors describe a controlled experiment in assessing how the experience of software developers can best be measured. This is a particularly important problem in program comprehension research, as developer experience is often a key factor that must be explicitly taken into account when studying how programmers perform problem-solving tasks. In “An Empirical Study on the Impact of Static Typing on Software Maintainability”, the authors tackle one of the classic programming language debates: How does static typing affect human software development capabilities? The authors approach this question from an empirical perspective. In a carefully designed experiment, the authors assess the impact of static typing on understanding undocumented code, fixing type errors, and fixing semantic errors. The results show rigorous empirical evidence that static types are indeed beneficial to these activities, except when fixing semantic errors. In “Labeling Source Code with Information Retrieval Methods: An Empirical Study”, the authors address augmenting source code with explanatory labels. Automated techniques for this exist, which are based on, e.g., Vector Space Models, Latent Semantic Indexing (LSI), and latent Dirichlet allocation (LDA). The authors describe an experiment in which such Empir Software Eng (2014) 19:1259–1260 DOI 10.1007/s10664-014-9329-5

This special issue provides a forum for presenting the latest research on algorithms and applications for parallel and distributed systems, including algorithm design and optimization, programming paradigms, algorithm design and programming techniques heterogeneous computing systems, tools and environment for parallel/distributed software development, petascale and exascale algorithms, novel parallel and distributed applications, and performance simulations, measurement, and evaluations. The success of parallel algorithms-even on problems that at first glance seem inherently serialsuggests that this style of programming will be the inherent to any application in a near future. The relevant research has gained momentum with multicore and manycore architectures, and with the expected arrival of exascale computing. As a result, the space of potential ideas and solutions is still far from being widely explored. This special issue of International Journal of Parallel Programming contains 7 papers selected from a set of invited papers extracted from the papers presented in The 10th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2012), held in Madrid, Spain, July 10–13, 2012 [1]. ISPA 2012 accepted 32 papers out of 98 full paper submissions covering both foundational and practical issues in parallel and distributed programming and systems. The objective of ISPA 2012 was to provide a forum for scientists and engineers in academia and industry to exchange and discuss their experiences, new ideas,

Global software development efforts have increased in recent years, and such development seems to have become a business necessity for various reasons, including cost, availability of resources, and the need to locate development closer to customers. However, there's still much to learn about global software development before the discipline becomes mature. This special issue aims to assess the gap between the state of the art and the state of the practice. It presents five articles that cover various aspects of global software development, including knowledge management strategies, distributed software development, requirements engineering, distributed requirements, and managing offshore collaboration. A Point/Counterpoint department discusses whether global software development is indeed a business necessity.This article is part of a special issue on Global Software Development.