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1.
《Information and Software Technology》2013,55(12):2049-2075
ContextMany researchers adopting systematic reviews (SRs) have also published papers discussing problems with the SR methodology and suggestions for improving it. Since guidelines for SRs in software engineering (SE) were last updated in 2007, we believe it is time to investigate whether the guidelines need to be amended in the light of recent research.ObjectiveTo identify, evaluate and synthesize research published by software engineering researchers concerning their experiences of performing SRs and their proposals for improving the SR process.MethodWe undertook a systematic review of papers reporting experiences of undertaking SRs and/or discussing techniques that could be used to improve the SR process. Studies were classified with respect to the stage in the SR process they addressed, whether they related to education or problems faced by novices and whether they proposed the use of textual analysis tools.ResultsWe identified 68 papers reporting 63 unique studies published in SE conferences and journals between 2005 and mid-2012. The most common criticisms of SRs were that they take a long time, that SE digital libraries are not appropriate for broad literature searches and that assessing the quality of empirical studies of different types is difficult.ConclusionWe recommend removing advice to use structured questions to construct search strings and including advice to use a quasi-gold standard based on a limited manual search to assist the construction of search stings and evaluation of the search process. Textual analysis tools are likely to be useful for inclusion/exclusion decisions and search string construction but require more stringent evaluation. SE researchers would benefit from tools to manage the SR process but existing tools need independent validation. Quality assessment of studies using a variety of empirical methods remains a major problem. 相似文献
2.
Francisco J. Lucas Fernando Molina Ambrosio Toval 《Information and Software Technology》2009,51(12):1631-1645
Information System (IS) development has been beset by consistency problems since its infancy. These problems are greater still in UML software development, and are principally caused by the existence of multiple views (models) for the same system, and may involve potentially contradictory system specifications. Since a considerable amount of work takes place within the scope of model consistency management, this paper presents a systematic literature review (SLR) which was carried out to discover the various current model consistency conceptions, proposals, problems and solutions provided. To do this, a total of 907 papers related to UML model consistency published in literature and extracted from the most relevant scientific sources (IEEE Computer Society, ACM Digital Library, Google Scholar, ScienceDirect, and the SCOPUS Database) were considered, of which 42 papers were eventually analyzed. This systematic literature review resulted in the identification of the current state-of-the-art with regard to UML model consistency management research along with open issues, trends and future research within this scope. A formal approach for the handling of inconsistency problems which fulfils the identified limitations is also briefly presented. 相似文献
3.
ContextThe web has had a significant impact on all aspects of our society. As our society relies more and more on the web, the dependability of web applications has become increasingly important. To make these applications more dependable, for the past decade researchers have proposed various techniques for testing web-based software applications. Our literature search for related studies retrieved 193 papers in the area of web application testing, which have appeared between 2000 and 2013.ObjectiveAs this research area matures and the number of related papers increases, it is important to systematically identify, analyze, and classify the publications and provide an overview of the trends and empirical evidence in this specialized field.MethodsWe systematically review the body of knowledge related to functional testing of web application through a systematic literature review (SLR) study. This SLR is a follow-up and complimentary study to a recent systematic mapping (SM) study that we conducted in this area. As part of this study, we pose three sets of research questions, define selection and exclusion criteria, and synthesize the empirical evidence in this area.ResultsOur pool of studies includes a set of 95 papers (from the 193 retrieved papers) published in the area of web application testing between 2000 and 2013. The data extracted during our SLR study is available through a publicly-accessible online repository. Among our results are the followings: (1) the list of test tools in this area and their capabilities, (2) the types of test models and fault models proposed in this domain, (3) the way the empirical studies in this area have been designed and reported, and (4) the state of empirical evidence and industrial relevance.ConclusionWe discuss the emerging trends in web application testing, and discuss the implications for researchers and practitioners in this area. The results of our SLR can help researchers to obtain an overview of existing web application testing approaches, fault models, tools, metrics and empirical evidence, and subsequently identify areas in the field that require more attention from the research community. 相似文献
4.
The increasing competition among industries has leveraged the emergence of various tools and methods for maintenance decision-making support. This paper identifies in literature the application areas of industrial maintenance decision-making, the relationships between these areas and the ways in which authors integrate tools and methods. This information makes it possible to identify trends and deficiencies in this context, helping to centralize the efforts required for future work. This work follows a series of structured steps for a systematic literature review of papers related to the main topic available in online databases. The selected papers are subject to a content assessment and grouped according to the application areas. The direct comparison between these areas and the construction of a relational matrix provide a quantitative interpretation of the results and well-structured information. Additionally, this paper proposes a framework based on information from the literature, which summarizes the origin and flow of information used in the development of models, showing the relationship among application areas of decision making. The research undertaken identifies trends focused on joint production systems optimization and increasing the deployment of methods for autonomous equipment predictions. 相似文献
5.
Emelie Engström 《Information and Software Technology》2011,53(1):2-13
Context
Software product lines (SPL) are used in industry to achieve more efficient software development. However, the testing side of SPL is underdeveloped.Objective
This study aims at surveying existing research on SPL testing in order to identify useful approaches and needs for future research.Method
A systematic mapping study is launched to find as much literature as possible, and the 64 papers found are classified with respect to focus, research type and contribution type.Results
A majority of the papers are of proposal research types (64%). System testing is the largest group with respect to research focus (40%), followed by management (23%). Method contributions are in majority.Conclusions
More validation and evaluation research is needed to provide a better foundation for SPL testing. 相似文献6.
《Information and Software Technology》2014,56(6):545-567
ContextSoftware documents are core artifacts produced and consumed in documentation activity in the software lifecycle. Meanwhile, knowledge-based approaches have been extensively used in software development for decades, however, the software engineering community lacks a comprehensive understanding on how knowledge-based approaches are used in software documentation, especially documentation of software architecture design.ObjectiveThe objective of this work is to explore how knowledge-based approaches are employed in software documentation, their influences to the quality of software documentation, and the costs and benefits of using these approaches.MethodWe use a systematic literature review method to identify the primary studies on knowledge-based approaches in software documentation, following a pre-defined review protocol.ResultsSixty studies are finally selected, in which twelve quality attributes of software documents, four cost categories, and nine benefit categories of using knowledge-based approaches in software documentation are identified. Architecture understanding is the top benefit of using knowledge-based approaches in software documentation. The cost of retrieving information from documents is the major concern when using knowledge-based approaches in software documentation.ConclusionsThe findings of this review suggest several future research directions that are critical and promising but underexplored in current research and practice: (1) there is a need to use knowledge-based approaches to improve the quality attributes of software documents that receive less attention, especially credibility, conciseness, and unambiguity; (2) using knowledge-based approaches with the knowledge content in software documents which gets less attention in current applications of knowledge-based approaches in software documentation, to further improve the practice of software documentation activity; (3) putting more focus on the application of software documents using the knowledge-based approaches (knowledge reuse, retrieval, reasoning, and sharing) in order to make the most use of software documents; and (4) evaluating the costs and benefits of using knowledge-based approaches in software documentation qualitatively and quantitatively. 相似文献
7.
《Information and Software Technology》2014,56(8):821-838
ContextModel-driven Engineering (MDE) promotes the utilization of models as primary artifacts in all software engineering activities. Therefore, mechanisms to ensure model correctness become crucial, specially when applying MDE to the development of software, where software is the result of a chain of (semi)automatic model transformations that refine initial abstract models to lower level ones from which the final code is eventually generated. Clearly, in this context, an error in the model/s is propagated to the code endangering the soundness of the resulting software. Formal verification of software models is a promising approach that advocates the employment of formal methods to achieve model correctness, and it has received a considerable amount of attention in the last few years.ObjectiveThe objective of this paper is to analyze the state of the art in the field of formal verification of models, restricting the analysis to those approaches applied over static software models complemented or not with constraints expressed in textual languages, typically the Object Constraint Language (OCL).MethodWe have conducted a Systematic Literature Review (SLR) of the published works in this field, describing their main characteristics.ResultsThe study is based on a set of 48 resources that have been grouped in 18 different approaches according to their affinity. For each of them we have analyzed, among other issues, the formalism used, the support given to OCL, the correctness properties addressed or the feedback yielded by the verification process.ConclusionsOne of the most important conclusions obtained is that current model verification approaches are strongly influenced by the support given to OCL. Another important finding is that in general, current verification tools present important flaws like the lack of integration into the model designer tool chain or the lack of efficiency when verifying large, real-life models. 相似文献
8.
BackgroundSoftware fault prediction is the process of developing models that can be used by the software practitioners in the early phases of software development life cycle for detecting faulty constructs such as modules or classes. There are various machine learning techniques used in the past for predicting faults.MethodIn this study we perform a systematic review of studies from January 1991 to October 2013 in the literature that use the machine learning techniques for software fault prediction. We assess the performance capability of the machine learning techniques in existing research for software fault prediction. We also compare the performance of the machine learning techniques with the statistical techniques and other machine learning techniques. Further the strengths and weaknesses of machine learning techniques are summarized.ResultsIn this paper we have identified 64 primary studies and seven categories of the machine learning techniques. The results prove the prediction capability of the machine learning techniques for classifying module/class as fault prone or not fault prone. The models using the machine learning techniques for estimating software fault proneness outperform the traditional statistical models.ConclusionBased on the results obtained from the systematic review, we conclude that the machine learning techniques have the ability for predicting software fault proneness and can be used by software practitioners and researchers. However, the application of the machine learning techniques in software fault prediction is still limited and more number of studies should be carried out in order to obtain well formed and generalizable results. We provide future guidelines to practitioners and researchers based on the results obtained in this work. 相似文献
9.
Systematic literature review of machine learning based software development effort estimation models
Jianfeng Wen Shixian LiZhiyong Lin Yong HuChangqin Huang 《Information and Software Technology》2012,54(1):41-59
Context
Software development effort estimation (SDEE) is the process of predicting the effort required to develop a software system. In order to improve estimation accuracy, many researchers have proposed machine learning (ML) based SDEE models (ML models) since 1990s. However, there has been no attempt to analyze the empirical evidence on ML models in a systematic way.Objective
This research aims to systematically analyze ML models from four aspects: type of ML technique, estimation accuracy, model comparison, and estimation context.Method
We performed a systematic literature review of empirical studies on ML model published in the last two decades (1991-2010).Results
We have identified 84 primary studies relevant to the objective of this research. After investigating these studies, we found that eight types of ML techniques have been employed in SDEE models. Overall speaking, the estimation accuracy of these ML models is close to the acceptable level and is better than that of non-ML models. Furthermore, different ML models have different strengths and weaknesses and thus favor different estimation contexts.Conclusion
ML models are promising in the field of SDEE. However, the application of ML models in industry is still limited, so that more effort and incentives are needed to facilitate the application of ML models. To this end, based on the findings of this review, we provide recommendations for researchers as well as guidelines for practitioners. 相似文献10.
ContextBusiness process modeling is an essential part of understanding and redesigning the activities that a typical enterprise uses to achieve its business goals. The quality of a business process model has a significant impact on the development of any enterprise and IT support for that process.ObjectiveSince the insights on what constitutes modeling quality are constantly evolving, it is unclear whether research on business process modeling quality already covers all major aspects of modeling quality. Therefore, the objective of this research is to determine the state of the art on business process modeling quality: What aspects of process modeling quality have been addressed until now and which gaps remain to be covered?MethodWe performed a systematic literature review of peer reviewed articles as published between 2000 and August 2013 on business process modeling quality. To analyze the contributions of the papers we use the Formal Concept Analysis technique.ResultsWe found 72 studies addressing quality aspects of business process models. These studies were classified into different dimensions: addressed model quality type, research goal, research method, and type of research result. Our findings suggest that there is no generally accepted framework of model quality types. Most research focuses on empirical and pragmatic quality aspects, specifically with respect to improving the understandability or readability of models. Among the various research methods, experimentation is the most popular one. The results from published research most often take the form of intangible knowledge.ConclusionWe believe there is a lack of an encompassing and generally accepted definition of business process modeling quality. This evidences the need for the development of a broader quality framework capable of dealing with the different aspects of business process modeling quality. Different dimensions of business process quality and of the process of modeling still require further research. 相似文献
11.
ContextIn the last decade, software development has been characterized by two major approaches: agile software development, which aims to achieve increased velocity and flexibility during the development process, and user-centered design, which places the goals and needs of the system’s end-users at the center of software development in order to deliver software with appropriate usability. Hybrid development models, referred to as user-centered agile software development (UCASD) in this article, propose to combine the merits of both approaches in order to design software that is both useful and usable.ObjectiveThis paper aims to capture the current state of the art in UCASD approaches and to derive generic principles from these approaches. More specifically, we investigate the following research question: Which principles constitute a user-centered agile software development approach?MethodWe conduct a systematic review of the literature on UCASD. Identified works are analyzed using a coding scheme that differentiates four levels of UCASD: the process, practices, people/social and technology dimensions. Through subsequent synthesis, we derive generic principles of UCASD.ResultsWe identified and analyzed 83 relevant publications. The analysis resulted in a comprehensive coding system and five principles for UCASD: (1) separate product discovery and product creation, (2) iterative and incremental design and development, (3) parallel interwoven creation tracks, (4) continuous stakeholder involvement, and (5) artifact-mediated communication.ConclusionOur paper contributes to the software development body of knowledge by (1) providing a broad overview of existing works in the area of UCASD, (2) deriving an analysis framework (in form a coding system) for works in this area, going beyond former classifications, and (3) identifying generic principles of UCASD and associating them with specific practices and processes. 相似文献
12.
Context
Software development outsourcing is a contract-based relationship between client and vendor organisations in which a client contracts out all or part of its software development activities to a vendor, who provides agreed services for remuneration.Objective
The objective is to identify various barriers that have a negative impact on software outsourcing clients in the selection process of offshore software development outsourcing vendors.Method
We have performed a systematic literature review (SLR) process for the identification of barriers. We have performed all the SLR steps such as the protocol development, initial selection, final selection, quality assessment, data extraction and data synthesis.Results
We have identified barriers such as ‘language and cultural barriers’, ‘country instability’, ‘lack of project management’, ‘lack of protection for intellectual property rights’ and ‘lack of technical capability’ that generally have a negative impact on outsourcing clients. We have identified only one common frequently cited barrier in three types of organisations (i.e. small, medium and large) which is ‘language and cultural barriers’. We did not identify any common frequently cited barrier in three continents (Asia, North America and Europe) and in two decades (1990-1999 and 2000-mid 2008). The results also reveal the similarities and differences in the barriers identified through different study strategies.Conclusions
Vendors should address frequently cited barriers such as ‘language and cultural barriers’, ‘country instability’, ‘lack of project management’, ‘lack of protection for intellectual property rights’ and ‘lack of technical capability’ in order to compete in the offshore outsourcing business. 相似文献13.
《Information and Software Technology》2014,56(2):103-116
ContextOrganizations working in software development are aware that processes are very important assets as well as they are very conscious of the need to deploy well-defined processes with the goal of improving software product development and, particularly, quality. Software process modeling languages are an important support for describing and managing software processes in software-intensive organizations.ObjectiveThis paper seeks to identify what software process modeling languages have been defined in last decade, the relationships and dependencies among them and, starting from the current state, to define directions for future research.MethodA systematic literature review was developed. 1929 papers were retrieved by a manual search in 9 databases and 46 primary studies were finally included.ResultsSince 2000 more than 40 languages have been first reported, each of which with a concrete purpose. We show that different base technologies have been used to define software process modeling languages. We provide a scheme where each language is registered together with the year it was created, the base technology used to define it and whether it is considered a starting point for later languages. This scheme is used to illustrate the trend in software process modeling languages. Finally, we present directions for future research.ConclusionThis review presents the different software process modeling languages that have been developed in the last ten years, showing the relevant fact that model-based SPMLs (Software Process Modeling Languages) are being considered as a current trend. Each one of these languages has been designed with a particular motivation, to solve problems which had been detected. However, there are still several problems to face, which have become evident in this review. This let us provide researchers with some guidelines for future research on this topic. 相似文献
14.
15.
Context: Data Distribution Service (DDS) is a standard data-centric publish–subscribe programming model and specification for distributed systems. DDS has been applied for the development of high performance distributed systems such as in the defense, finance, automotive, and simulation domains. Various papers have been written on the application of DDS, however, there has been no attempt to systematically review and categorize the identified obstacles.Objective: The overall objective of this paper is to identify the state of the art of DDS, and describe the main lessons learned and obstacles in applying DDS. In addition, we aim to identify the important open research issues.Method: A systematic literature review (SLR) is conducted by a multiphase study selection process using the published literature since the introduction of DDS in 2003.Results: We reviewed 468 papers that are discovered using a well-planned review protocol, and 34 of them were assessed as primary studies related to our research questions.Conclusions: We have identified 11 basic categories for describing the identified obstacles and the corresponding research challenges that can be used to depict the state-of-the-art in DDS and provide a vision for further research. 相似文献
16.
The conceptual modelling phase of simulation studies has proven to be effective in enhancing the impact of simulation modelling in different domains. However, this simulation phase did not receive much attention in the construction simulation domain. The objective of this paper is to identify the roles that conceptual modelling can play in advancing the engagement, accuracy, and adoption (among other things) of discrete-event simulation studies in construction. In this paper, a Systematic Literature Review (SLR) is conducted, which involves a comprehensive search of databases and researchers’ profiles to identify journal papers, conference articles, books, and theses that have reported the benefits of conceptual modelling for discrete-event simulation studies. The review resulted in 82 documents that were published from 2000 to 2020. Results indicate that the benefits of conceptual modelling include facilitating communications between stakeholders, capturing sufficient information for the simulation model, improving the quality of simulation models, guiding other simulation modelling activities, and facilitating verification and validation of simulation models. By linking these benefits to the current research agenda in construction simulation, this paper shows the significance and potential of the conceptual modelling phase to enhance the impact of discrete-event simulation studies in construction. 相似文献
17.
Context
Service-Oriented Computing (SOC) is a promising computing paradigm which facilitates the development of adaptive and loosely coupled service-based applications (SBAs). Many of the technical challenges pertaining to the development of SBAs have been addressed, however, there are still outstanding questions relating to the processes required to develop them.Objective
The objective of this study is to systematically identify process models for developing service-based applications (SBAs) and review the processes within them. This will provide a useful starting point for any further research in the area. A secondary objective of the study is to identify process models which facilitate the adaptation of SBAs.Method
In order to achieve this objective a systematic literature review (SLR) of the existing software engineering literature is conducted.Results
During this research 722 studies were identified using a predefined search strategy, this number was narrowed down to 57 studies based on a set of strict inclusion and exclusion criteria. The results are reported both quantitatively in the form of a mapping study, as well as qualitatively in the form of a narrative summary of the key processes identified.Conclusion
There are many process models reported for the development of SBAs varying in detail and maturity, this review has identified and categorised the processes within those process models. The review has also identified and evaluated process models which facilitate the adaptation of SBAs. 相似文献18.
Context
We are strong advocates of evidence-based software engineering (EBSE) in general and systematic literature reviews (SLRs) in particular. We believe it is essential that the SLR methodology is used constructively to support software engineering research.Objective
This study aims to assess the value of mapping studies which are a form of SLR that aims to identify and categorise the available research on a broad software engineering topic.Method
We used a multi-case, participant-observer case study using five examples of studies that were based on preceding mapping studies. We also validated our results by contacting two other researchers who had undertaken studies based on preceding mapping studies and by assessing review comments related to our follow-on studies.Results
Our original case study identified 11 unique benefits that can accrue from basing research on a preceding mapping study of which only two were case specific. We also identified nine problems associated with using preceding mapping studies of which two were case specific. These results were consistent with the information obtained from the validation activities. We did not find an example of an independent research group making use of a mapping study produced by other researchers.Conclusion
Mapping studies can save time and effort for researchers and provide baselines to assist new research efforts. However, they must be of high quality in terms of completeness and rigour if they are to be a reliable basis for follow-on research. 相似文献19.
Knowledge management is the process of capturing, sharing, developing, and using the knowledge efficiently. Knowledge sharing as one of the important parts of the knowledge management system means that an individual, team, and the organization share the knowledge with other members in the form of activities through the various ways. On the other hand, a project team is a team whose members usually belongs to different departments and are assigned to join the same project. In a project team, knowledge sharing is very important because it provides a link between the member and the project team by sharing knowledge to reduce cost and increase the performance. However, despite the importance of the knowledge sharing mechanisms and techniques in the project teams, to the best of our knowledge, the comprehensive and systematic research and study about the antecedents and backgrounds of knowledge sharing mechanisms between project teams is rare. Therefore, the main aim of this paper is to provide the comprehensive and detailed review of the state-of-the-art knowledge sharing mechanisms in the project team as well as directions for future research. Also, this paper presents a systematic literature review (SLR) on the knowledge sharing mechanisms in project teams up to the end of 2015. We identified 71 papers, which are reduced to 28 primary studies through our paper selection process. By providing the state-of-the-art information and the challenges issues, this survey will directly support academics, researchers and practicing professionals in their understanding of developments in knowledge sharing mechanisms and techniques in project teams. 相似文献
20.
ContextSoftware process simulation modelling (SPSM) captures the dynamic behaviour and uncertainty in the software process. Existing literature has conflicting claims about its practical usefulness: SPSM is useful and has an industrial impact; SPSM is useful and has no industrial impact yet; SPSM is not useful and has little potential for industry.ObjectiveTo assess the conflicting standpoints on the usefulness of SPSM.MethodA systematic literature review was performed to identify, assess and aggregate empirical evidence on the usefulness of SPSM.ResultsIn the primary studies, to date, the persistent trend is that of proof-of-concept applications of software process simulation for various purposes (e.g. estimation, training, process improvement, etc.). They score poorly on the stated quality criteria. Also only a few studies report some initial evaluation of the simulation models for the intended purposes.ConclusionThere is a lack of conclusive evidence to substantiate the claimed usefulness of SPSM for any of the intended purposes. A few studies that report the cost of applying simulation do not support the claim that it is an inexpensive method. Furthermore, there is a paramount need for improvement in conducting and reporting simulation studies with an emphasis on evaluation against the intended purpose. 相似文献