scholarly journals Peer Review #2 of "Software process improvement: a systematic mapping study on the state of the art (v0.1)"

2016 ◽  
Vol 2 ◽  
pp. e62 ◽  
Author(s):  
Marco Kuhrmann ◽  
Philipp Diebold ◽  
Jürgen Münch

Software process improvement (SPI) has been around for decades: frameworks are proposed, success factors are studied, and experiences have been reported. However, the sheer mass of concepts, approaches, and standards published over the years overwhelms practitioners as well as researchers. What is out there? Are there new trends and emerging approaches? What are open issues? Still, we struggle to answer these questions about the current state of SPI and related research. In this article, we present results from an updated systematic mapping study to shed light on the field of SPI, to develop a big picture of the state of the art, and to draw conclusions for future research directions. An analysis of 769 publications draws a big picture of SPI-related research of the past quarter-century. Our study shows a high number of solution proposals, experience reports, and secondary studies, but only few theories and models on SPI in general. In particular, standard SPI models like CMMI and ISO/IEC 15,504 are analyzed, enhanced, and evaluated for applicability in practice, but these standards are also critically discussed, e.g., from the perspective of SPI in small-to-medium-sized companies, which leads to new specialized frameworks. New and specialized frameworks account for the majority of the contributions found (approx. 38%). Furthermore, we find a growing interest in success factors (approx. 16%) to aid companies in conducting SPI and in adapting agile principles and practices for SPI (approx. 10%). Beyond these specific topics, the study results also show an increasing interest into secondary studies with the purpose of aggregating and structuring SPI-related knowledge. Finally, the present study helps directing future research by identifying under-researched topics awaiting further investigation.


2014 ◽  
Vol 17 (3) ◽  
Author(s):  
Ciro Xavier Maretto ◽  
Monalessa Perini Barcellos

During the execution of software projects, it is necessary to collect, store and analyze data to support project and organizational decisions. Software measurement is a fundamental practice for project management and process improvement. It is present in the main models and standards that address software process improvement, such as ISO/IEC 12207, CMMI and MR MPS.BR. In order to effectively perform software measurement, it is necessary an infrastructure to support data collection, storage and analysis. This infrastructure can be defined by means of an architecture, which describes the components necessary to support software measurement. In this paper we present the main results obtained from a systematic mapping study that investigated software measurement architectures and an approach proposed aiming to help organizations define software measurement architectures.


Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1999
Author(s):  
Jose M. Del Alamo ◽  
Danny Guaman ◽  
Belen Balmori ◽  
Ana Diez

Android apps are daily installed by billions of users worldwide, who grant access to an extensive set of sensitive personal data. Different techniques have been developed over the years to understand how apps protect or harm their users’ privacy. However, these results have been produced in different research domains and addressing privacy from different perspectives, resulting in a growing but scattered body of knowledge. To bridge this gap, we have carried out a systematic mapping study to provide practitioners and researchers with an overview of the state-of-the-art technique, published between 2016 and 2020, to assess privacy in Android apps. In this paper, we highlight the most relevant findings, identify and analyse the most pressing gaps, and discuss the promising research directions.


Author(s):  
Jose A. Gallud ◽  
Monica Carreño ◽  
Ricardo Tesoriero ◽  
Andrés Sandoval ◽  
María D. Lozano ◽  
...  

AbstractTechnology-based education of children with special needs has become the focus of many research works in recent years. The wide range of different disabilities that are encompassed by the term “special needs”, together with the educational requirements of the children affected, represent an enormous multidisciplinary challenge for the research community. In this article, we present a systematic literature review of technology-enhanced and game-based learning systems and methods applied on children with special needs. The article analyzes the state-of-the-art of the research in this field by selecting a group of primary studies and answering a set of research questions. Although there are some previous systematic reviews, it is still not clear what the best tools, games or academic subjects (with technology-enhanced, game-based learning) are, out of those that have obtained good results with children with special needs. The 18 articles selected (carefully filtered out of 614 contributions) have been used to reveal the most frequent disabilities, the different technologies used in the prototypes, the number of learning subjects, and the kind of learning games used. The article also summarizes research opportunities identified in the primary studies.


2012 ◽  
Vol 588-589 ◽  
pp. 2088-2092
Author(s):  
Ehsan Ahmad ◽  
Yun Wei Dong ◽  
Bin Gu

The main object of this study is to systematically review existing research on energy efficiency of embedded systems in order to identify investigated aspects and needs for future research. We have conducted a systematic mapping study of the state-of-the-art on energy efficiency of embedded systems. 186 papers have been identified as primary studies from year 1994 to 2011 and classified by research focus, research type, and contribution type. 71% of the research papers are solutions proposals; power estimation is the most investigated aspect in terms of research focus (34%) and majority of the studies contributed in terms of methods.


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