Context: In a previous study, we reported on a systematic literature review (SLR), based on a manual search of 13 journals and conferences undertaken in the period 1st January 2004 to 30th June 2007. Objective: The aim of this on-going research is to provide an annotated catalogue of SLRs available to software engineering researchers and practitioners. This study updates our previous study using a broad automated search. Method: We performed a broad automated search to find SLRs published in the time period 1st January 2004 to 30th June 2008. We contrast the number, quality and source of these SLRs with SLRs found in the original study. Results: Our broad search found an additional 35 SLRs corresponding to 33 unique studies. Of these papers, 17 appeared relevant to the undergraduate educational curriculum and 12 appeared of possible interest to practitioners. The number of SLRs being published is increasing. The quality of papers in conferences and workshops has improved as more researchers use SLR guidelines. Conclusion: SLRs appear to have gone past the stage of being used solely by innovators but cannot yet be considered a main stream software engineering research methodology. They are addressing a wide range of topics but still have limitations, such as often failing to assess primary study quality.

https://romisatriawahono.net/wp-content/uploads/2013/01/Kitchenham-Systematic-literature-reviews-in-software-engineering-%E2%80%93-A-tertiary-study-2012.pdf

Systematic literature reviews in software engineering - A tertiary study

data types Sorting and searching parallel and distributed algorithms 3. [AR] Computer Architecture

/pdf/guide-to-the-software-engineering-body-of-knowledge-4x9ajlpq2m.pdf

Guide to the Software Engineering Body of Knowledge

The goal of this roadmap paper is to summarize the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for self-adaptive solutions, software engineering processes for self-adaptive systems, from centralized to decentralized control, and practical run-time verification & validation for self-adaptive systems. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.

/pdf/software-engineering-for-self-adaptive-systems-a-second-vyp99zhddq.pdf

Software Engineering for Self-Adaptive Systems : A Second Research Roadmap

An international standard has now been established for evaluating the quality of software products. However there is no equivalent standard for evaluating the quality of conceptual models. While a range of quality frameworks have been proposed in the literature, none of these have been widely accepted in practice and none has emerged as a potential standard. As a result, conceptual models continue to be evaluated in practice in an ad hoc way, based on common sense, subjective opinions and experience. For conceptual modelling to progress from an "art" to an engineering discipline, quality standards need to be defined, agreed and applied in practice. This paper conducts a review of research in conceptual model quality and identifies the major theoretical and practical issues which need to be addressed. We consider how conceptual model quality frameworks can be structured, how they can be developed, how they can be empirically validated and how to achieve acceptance in practice. We argue that the current proliferation of quality frameworks is counterproductive to the progress of the field, and that researchers and practitioners should work together to establish a common standard (or standards) for conceptual model quality. Finally, we describe some initial efforts towards developing a common standard for data model quality, which may provide a model for future standardisation efforts.

Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions

This paper explores the issue of whether the field of IS is in crisis. To do so, the paper first starts by looking back on where the field has come from. Next, it assesses the status of the IS field by exploring where the field is now. That our current status remains a ‘fragmented
adhocracy’ suggests the field may indeed be in crisis or headed for a crisis. This is compounded by the fact that there are two different views on the state of the IS field, each posing its own set of threats. One is the external view of the community (the view of IS from outside the academic field); the other is the internal view (the view from inside the IS community). By analyzing these two views, a better understanding of the problems the field faces emerges. In the next part of the paper, some thoughts are presented on where might the field go from here for overcoming its internal communication deficit. The paper proposes four different types of knowledge for structuring an IS Body of Knowledge (BoK) and
following on from that, the value of creating a common BoK for the field. Lastly, the implications arising from the paper’s analysis are explored. More specifically, the paper
considers various options that are available for overcoming the internal communications deficit the IS field faces. These include changing the way the field thinks about generalizations, changing the institutional publication practices, focusing more on understanding the field’s organizational stakeholders, and developing new knowledge creation and transformation networks. If IS as a field can overcome its internal communications deficits, it might ultimately contribute to the societal challenge of developing a deliberative cyber democracy and thereby help to address the social communication deficit which is a feature of modern mass societies.

Beijun Shen

Papers

Guide to the software engineering body of knowledge