Computer‐aided engineering challenges for wireless transceivers

This work explores potential errors arising in the application of modern computer‐aided engineering (CAE) software to the simulation of RF‐communication system hardware. A hardware set comprising a 915‐MHz transmitter and a corresponding 915‐MHz receiver is analyzed by comparing system‐level simulations from commercially available software to various linear and nonlinear performance measurements. It is shown that after the determination of the subsystem computer‐aided design parameters using the measured component behavior, good predictions of in‐band performance can be achieved for all analog parameters examined. Discrepancies, in some cases significant ones, are revealed in the out of band response predictions of the output frequency spectral content caused by system nonlinearities. Ideal filter and mixer models, in particular, are shown to be inadequate for high accuracy system simulation work. © 2003 Wiley Periodicals, Inc. Int J RF and Microwave CAE 13: 86–100, 2003.     

Managing knowledge on communication and information flow in global software projects

Communication is a key success factor of distributed software projects. Poor communication has been identified as a main obstacle to successful collaboration. Global projects are especially endangered by information gaps between collaborating sites. Different communication styles, technical equipment, and missing awareness of each other can cause severe problems. Knowledge about actual and desired channels, paths, and modes of communication is required for improving communication in a globally distributed project. However, many project participants know little about communication and information flow in their projects. In this contribution, we focus on knowledge about communication and information flow. It is acquired by modelling on‐going and desired flows of information, including documented and non‐documented channels of information flow. We analyzed a distributed software project from the information flow perspective. Based on the findings, we developed specific techniques to improve information flow in distributed software development according to the FLOW Method. In a second distributed project, we evaluated one of the techniques. We found the FLOW mapping technique to be suitable for effectively spreading knowledge about communication and information flow in global software projects.     

Design and deployment challenges in immersive and wearable technologies

The current century has brought an unimaginable growth in information and communications technology (ICT) and needs of enormous computing. The advancements in computer hardware and software particularly helped fuel the requirements of human beings, and revolutionized the smart products as an outcome. The advent of wearable devices from their development till successful materialisation has only taken less than a quarter of a century. The huge benefits of these smart wearable technologies cannot be fully enjoyed until and unless the reliability of a complete system is ensured. The reliability can be increased by the consistent advancements in hardware and software in parallel. User expectations actually are the challenges that keep the advancements alive while improving at an unmatchable pace. The future of wearable and other smart devices depends on whether they can provide a timely solution that is reliable, richer in resources, smaller in size, and cheaper in price. This paper addresses the threats and opportunities in the development and the acceptance of immersive and wearable technologies. The hardware and software challenges for the purpose of development are discussed to demonstrate the bottlenecks of the current technologies and the limitations that impose those bottlenecks. For the purpose of adoption, social and commercial challenges related to innovation and acceptability are discussed. The paper proposes guidelines that are expected to be applicable in several considerable applications of wearable technologies, for example, social networks, healthcare, and banking.     

Knowledge transfer in offshore outsourcing software development projects: an analysis of the challenges and solutions from German clients

Knowledge transfer is a critical factor in ensuring the success of offshore outsourcing software development projects and is, in many cases, neglected. Compared to in‐house or co‐located projects, however, such globally distributed projects feature far greater complexity. In addition to language barriers, factors such as cultural differences, time zone variance, distinct methods and practices, as well as unique equipment and infrastructure can all lead to problems that negatively impact knowledge transfer, and as a result, a project's overall success. In order to help minimise such risks to knowledge transfer, we conducted a research study based on expert interviews in six projects. Our study used German clients and focused on offshore outsourcing software development projects. We first identified known problems in knowledge transfer that can occur with offshore outsourcing projects. Then we collected best‐practice solutions proven to overcome the types of problems described. Afterward, we conducted a follow‐up study to evaluate our findings. In this subsequent stage, we presented our findings to a different group of experts in five projects and asked them to evaluate these solutions and recommendations in terms of our original goal, namely to find ways to minimise knowledge‐transfer problems in offshore outsourcing software development projects. Thus, the result of our study is a catalog of evaluated solutions and associated recommendations mapped to the identified problem areas.     

Architecting cloud‐enabled systems: a systematic survey of challenges and solutions

The literature on the challenges of and potential solutions to architecting cloud‐based systems is rapidly growing but is scattered. It is important to systematically analyze and synthesize the existing research on architecting cloud‐based software systems in order to build a cohesive body of knowledge of the reported challenges and solutions. We have systematically identified and reviewed 133 papers that report architecture‐related challenges and solutions for cloud‐based software systems. This paper reports the methodological details, findings, and implications of a systematic review that has enabled us to identify 44 unique categories of challenges and associated solutions for architecting cloud‐based software systems. We assert that the identified challenges and solutions classified into the categories form a body of knowledge that can be leveraged for designing or evaluating software architectures for cloud‐based systems. Our key conclusions are that a large number of primary studies focus on middleware services aimed at achieving scalability, performance, response time, and efficient resource optimization. Architecting cloud‐based systems presents unique challenges as the systems to be designed range from pervasive embedded systems and enterprise applications to smart devices with Internet of Things. We also conclude that there is a huge potential of research on architecting cloud‐based systems in areas related to green computing, energy efficient systems, mobile cloud computing, and Internet of Things. Copyright © 2016 John Wiley & Sons, Ltd.     

Agile requirements engineering practices and challenges: an empirical study

This paper describes empirical research into agile requirements engineering (RE) practices. Based on an analysis of data collected in 16 US software development organizations, we identify six agile practices. We also identify seven challenges that are created by the use of these practices. We further analyse how this collection of practices helps mitigate some, while exacerbating other risks in RE. We provide a framework for evaluating the impact and appropriateness of agile RE practices by relating them to RE risks. Two risks that are intractable by agile RE practices emerge from the analysis. First, problems with customer inability and a lack of concurrence among customers significantly impact agile development. Second, risks associated with the neglecting non‐functional requirements such as security and scalability are a serious concern. Developers should carefully evaluate the risk factors in their project environment to understand whether the benefits of agile RE practices outweigh the costs imposed by the challenges.     

Crowdsourced Requirements Engineering Challenges and Solutions: A Software Industry Perspective

Software crowdsourcing (SW CS) is an evolving software development paradigm, in which crowds of people are asked to solve various problems through an open call (with the encouragement of prizes for the top solutions). Because of its dynamic nature, SW CS has been progressively accepted and adopted in the software industry. However, issues pertinent to the understanding of requirements among crowds of people and requirements engineers are yet to be clarified and explained. If the requirements are not clear to the development team, it has a significant effect on the quality of the software product. This study aims to identify the potential challenges faced by requirements engineers when conducting the SW–CS based requirements engineering (RE) process. Moreover, solutions to overcome these challenges are also identified. Qualitative data analysis is performed on the interview data collected from software industry professionals. Consequently, 20 SW–CS based RE challenges and their subsequent proposed solutions are devised, which are further grouped under seven categories. This study is beneficial for academicians, researchers and practitioners by providing detailed SW–CS based RE challenges and subsequent solutions that could eventually guide them to understand and effectively implement RE in SW CS.     

Agents in object‐oriented software engineering

Software engineers of multi‐agent systems (MASs) are faced with different concerns such as autonomy, adaptation, interaction, collaboration, learning, and mobility, which are essentially different from classical concerns addressed in object‐oriented software engineering. MAS developers, however, have relied mostly on object‐oriented design techniques and programming languages, such as Java. This often leads to a poor separation of MAS concerns and in turn to the production of MASs that are difficult to maintain and reuse. This paper discusses software engineering approaches for MASs, and presents a new method for integrating agents into object‐oriented software engineering from an early stage of design. The proposed approach encourages the separate handling of MAS concerns, and provides a disciplined scheme for their composition. Our proposal explores the benefits of aspect‐oriented software development for the incorporation of agents into object‐oriented systems. We also illustrate our aspect‐oriented approach through the Portalware multi‐agent system, a Web‐based environment for the development of e‐commerce portals. Copyright © 2004 John Wiley & Sons, Ltd.     

Integration by communication: knowledge exchange in global outsourcing of product software development

Global outsourcing is a growing trend among independent software vendors. In these projects like other distributed work, distances have negative effects on communication and coordination, directly impacting performance. We present a normative model designed to address this issue by improving communication and knowledge exchange. The model consists of six distinct practices and a tool blueprint, each coming with practical guidelines. It is based in part on two case studies of Dutch software vendors who have successfully outsourced part of their activities to an Eastern European outsourcing vendor, and validated by a panel of six experts from industry and the scientific community. It is concluded that knowledge exchange in global software outsourcing is a by‐product of efforts to enhance communication and coordination, rather than specific technical solutions. By committing to sharing knowledge, emphasizing transparency and integrating the outsourcing team into their organizations, customers from the product software business can realize the benefits of global outsourcing.     

Agile transition and adoption human-related challenges and issues: A Grounded Theory approach

Agile methods in software development have been introduced to cope with the inherent problems of the traditional methods. The increasing prevalence of using these methods reflects their important role in the future of software development. However, leaving traditional approach and adapting to Agile approach has been a central attention of the researchers. Indeed, Agile transition needs enough time and effort and most often is subject to several challenges and barriers, mainly because of its people-centric nature. Human-related challenges in several studies have been reported as the major transition challenges. However, exploring the primary origins and reasons of these challenges has received less effort in a large-scale research study. A Grounded Theory in context of Agile software development has been conducted involving 49 Agile practitioners across the 13 different countries. This study identified different aspects of human-related challenges throughout Agile transition process. The results of this study show that the root of the emerged issues is the people's perceptions about Agile transition. The main purpose of this paper is to describe the origins and reasons of these challenges and issues in order to help software companies and development teams. Considering the findings may help them to facilitate Agile transition process with less cost, time and effort and to get better results by considering these potential challenges.     

An approach for the systematic development of domain‐specific languages

Building tailored software systems for a particular application domain is a complex task. For this reason, domain‐specific languages (DSLs) receive a constantly growing attention in recent years. So far the main focus of DSL research is on case studies and experience reports for the development of individual DSLs, design approaches and implementation techniques for DSLs, and the integration of DSLs with other software development approaches on a technical level. In this paper, we identify and describe the different activities that we conduct when engineering a DSL, and describe how these activities can be combined in order to define a tailored DSL engineering process. Our research results are based on the experiences we gained from multiple different DSL development projects and prototyping experiments. Copyright © 2009 John Wiley & Sons, Ltd.     

Managing Global Software Engineering: A Comparative Analysis of Offshore Outsourcing and the Internal Offshoring of Software Development

In this article, the authors compare offshore outsourcing and the internal offshoring of software development. Empirical evidence is presented from a case study conducted in five companies. Based on a detailed literature review, a framework was developed that guided the authors' analysis of the differences in the challenges faced by companies and the patterns of evolution in the practice of software development in each business model.     

RE challenges in multi-site software development organisations

The increasing globalisation of the software industry demands an investigation of requirements engineering (RE) in multi-site software development organisations. Requirements engineering is a task difficult enough when done locally—but it is even more difficult when cross-functional stakeholder groups specify requirements across cultural, language and time zone boundaries. This paper reports on a field study that investigated RE challenges introduced by the stakeholders' geographical distribution in a multi-site organisation. The goal was to examine RE practices in global software development, and to formulate recommendations for improvement as well as to provide directions for future research on methods and tools. Based on the empirical evidence, we have constructed a model of how remote communication and knowledge management, cultural diversity and time differences negatively impact requirements gathering, negotiations and specifications. Findings reveal that aspects such as a lack of a common understanding of requirements, together with a reduced awareness of a working local context, a trust level and an ability to share work artefacts significantly challenge the effective collaboration of remote stakeholders in negotiating a set of requirements that satisfies geographically distributed customers. The paper concludes with recommendations for improving RE practices in this setting.

A geographic information system‐based model for economical and eco‐friendly high‐speed railway route determination using analytic hierarchy process and least‐cost‐path analysis

In this study, geographic information system (GIS)‐based network analysis and analytic hierarchy process (AHP) methods were applied to the Erzincan–Trabzon segment of the Turkish high‐speed railway (HSR) project. A new hybrid route, which considers both economic and environmental criteria, was created and compared with three different routes from various preconstruction studies. The route‐generating analysis included the eight parameters (criteria) of slope, geology, soil quality, rivers, protected areas, roads, land cover, and lakes. The optimum route for connecting the port of Trabzon to Turkey's interior via HSR was generated. The weights for determining the route were tested for sensitivity. The study demonstrated the efficiency of GIS and AHP integration in generating optimum routes for HSR projects according to given databases. All these GIS and AHP analyses were applied automatically with our novel GIS extension for determining optimum HSR routes. The final route has preserved cultural and historical structures, environmental integrity. The new hybrid route also decreased construction costs by approximately 12%, and the least‐cost‐path analysis confirmed the environmental efficiency of the route.     

A rule‐based approach to detect and prevent inconsistency in the domain‐engineering process

A medium‐sized domain‐engineering process can contain thousands of features that all have constraint dependency rules between them. Therefore, the validation of the content of domain‐engineering process is vital to produce high‐quality software products. However, it is not feasible to do this manually. This paper aims to improve the quality of the software products generated by the domain‐engineering process by ensuring the validity of the results of that process. We propose rules for two operations: inconsistency detection and inconsistency prevention. We introduce first‐order logic (FOL) rules to detect three types of inconsistency and prevent the direct inconsistency in the domain‐engineering process. Developing FOL rules to detect and prevent inconsistency in the domain‐engineering process directly without the need to the configuration process is our main contribution. We performed some experiments to test the scalability and applicability of our approach on domain‐engineered software product lines containing 1000 assets to 20000 assets. The results show that our approach is scalable and could be utilized to improve the domain‐engineering process.     

High‐performance N‐thread software solutions for mutual exclusion

Software solutions for mutual exclusion developed over a 30‐year period, starting with complex ad hoc algorithms and progressing to simpler formal ones. While it is easy to dismiss software solutions for mutual exclusion, as this family of algorithms is antiquated and most platforms support atomic hardware instructions, there is still a need for these algorithms in threaded, embedded systems running on low‐cost processors lacking atomic instructions. While N‐thread solutions are usually short (10–25 lines of code), each is ingenious with exceptionally subtle aspects, often making it difficult to prove correctness or construct an implementation. This work examines correctness and performance of the implementations. An extensive survey of existing algorithms is presented, with explanations of the intuition behind the algorithms and how they work. Several errors were found and corrections made, as well as a few small improvements, in the existing algorithms; two new high‐performance algorithms were developed. Finally, a worst‐case high‐contention performance experiment is performed to compare the algorithms and contrast them with three common locks based on hardware atomic instructions. The results show our two new algorithms are highly competitive with an equivalent hardware lock (Mellor‐Crummey and Scott) over a range of 1–32 processors. Hence, threading is a viable alternative to event‐driven programming for complex embedded systems without atomic instructions. Copyright © 2014 John Wiley & Sons, Ltd.     

Using Stack Overflow content to assist in code review

An essential goal for programmers is to minimize the cost of identifying and correcting defects in source code. Code review is commonly used for identifying programming defects. However, manual code review has some shortcomings: (1) it is time-consuming and (2) outcomes are subjective and depend on the skills of reviewers. An automated approach for assisting in code reviews is thus highly desirable. We present a tool for assisting in code review and results from our experiments evaluating the tool in different scenarios. The tool leveraged content available from professional programmer support forums (eg, StackOverflow.com) to determine potential defectiveness of a given piece of source code. The defectiveness is expressed on the scale of {Likely defective, neutral, unlikely to be defective}. The basic idea employed in the tool is (1) to identify a set P of discussion posts on Stack Overflow such that each p∈P contains source code fragment(s), which sufficiently resemble the input code C being reviewed, and (2) to determine the likelihood of C being defective by considering all p∈P. A novel aspect of our approach is to use document fingerprinting for comparing two pieces of source code. Our choice of document fingerprinting technique is inspired by source code plagiarism detection tools where it has proven to be very successful. In the experiments that we performed to verify the effectiveness of our approach, source code samples from more than 300 GitHub open-source repositories were taken as input. An F1 score of 0.94 has been achieved in identifying correct/relevant results.     

A design for a common‐sense knowledge‐enhanced decision‐support system: Integration of high‐frequency market data and real‐time news

According to efficient markets theory, information is an important factor that affects market performance and serves as a source of first‐hand evidence in decision making, in particular with the rapid rise of Internet technologies in recent years. However, a lack of knowledge and inference ability prevents current decision support systems from processing the wide range of available information. In this paper, we propose a common‐sense knowledge‐supported news model. Compared with previous work, our model is the first to incorporate broad common‐sense knowledge into a decision support system, thereby improving the news analysis process through the application of a graphic random‐walk framework. Prototype and experiments based on Hong Kong stock market data have demonstrated that common‐sense knowledge is an important factor in building financial decision models that incorporate news information.     

An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm

The GSD team-level service climate is one of the key determinants to achieve the outcome of global software development (GSD) projects from the software service outsourcing perspective. The main aim of this study is to evaluate the GSD team-level service climate and GSD project outcome relationship based on adaptive neuro-fuzzy inference system (ANFIS) with the genetic learning algorithm. For measuring the team-level service climate, the Hybrid Taguchi-Genetic Learning Algorithm (HTGLA) is adopted in the ANFIS, which is more appropriate to determine the optimal premise and consequent constructs by reducing the root-mean-square-error (RMSE) of service climate criteria. For measuring the GSD team-level service climate, synthesizing the literature reviews and consistent with the earlier studies on IT service climate which is classified into three main criterion: managerial practices (deliver quality of service), global service climate (measure overall perceptions), service leadership (goal setting, work planning, and coordination) which comprises 25 GSD team-level service climate attributes. The experimental results show that the optimal prediction error is obtained by the HTGLA-based ANFIS approach is 3.26%, which outperforms the earlier result that is the optimal prediction errors 4.41% and 5.75% determined, respectively, by ANFIS and statistical methods.     

基于知识的关联多系统的软件工程方法

由于现实世界不断变化,政府部门或企事业单位的关联系统将不可避免地遇到不确定的需求,针对这种需求的几个技术方法,重要的是提取、捕获、分析客户的变化需求,解决方案能应对这种变化并保持一致地改进系统的行为。通过分析传统的软件开发技术和基于知识的软件工程方法。认为基于知识的关联多系统的软件工程方法是今后的发展方向。