Search Results - "Ali, Nauman Bin"

An analysis of top author citations in software engineering and a comparison with other fields by Petersen, Kai, Ali, Nauman Bin

“…Ioannidis et al. provided a science-wide database of author citations. The data offers an opportunity to researchers in a field to compare the citation…”
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Smart and Adaptive Architecture for a Dedicated Internet of Things Network Comprised of Diverse Entities: A Proposal and Evaluation by Singh, Shailesh Pratap, Ali, Nauman Bin, Lundberg, Lars

“…Advances in 5G and the Internet of Things (IoT) have to cater to the diverse and varying needs of different stakeholders, devices, sensors, applications,…”
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On the search for industry-relevant regression testing research by Ali, Nauman bin, Engström, Emelie, Taromirad, Masoumeh, Mousavi, Mohammad Reza, Minhas, Nasir Mehmood, Helgesson, Daniel, Kunze, Sebastian, Varshosaz, Mahsa

“…Regression testing is a means to assure that a change in the software, or its execution environment, does not introduce new defects. It involves the expensive…”
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Towards a benefits dependency network for DevOps based on a systematic literature review by Jabbari, Ramtin, Ali, Nauman, Petersen, Kai, Tanveer, Binish

“…DevOps as a new way of thinking for software development and operations has received much attention in the industry, while it has not been thoroughly…”
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A Comparison of Citation Sources for Reference and Citation-Based Search in Systematic Literature Reviews by Ali, Nauman bin, Tanveer, Binish

“…Context: In software engineering, snowball sampling has been used as a supplementary and primary search strategy. The current guidelines recommend using Google…”
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A Quality Assessment Instrument for Systematic Literature Reviews in Software Engineering by Usman, Muhammad, Ali, Nauman bin, Wohlin, Claes

“…Background: Systematic literature reviews (SLRs) have become a standard practice as part of software engineering (SE) research, although their quality varies…”
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An evaluation of effort estimation supported by change impact analysis in agile software development by Tanveer, Binish, Vollmer, Anna Maria, Braun, Stefan, Ali, Nauman bin

“…In agile software development, functionality is added to the system in an incremental and iterative manner. Practitioners often rely on expert judgment to…”
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SERP-test: a taxonomy for supporting industry–academia communication by Engström, Emelie, Petersen, Kai, Ali, Nauman bin, Bjarnason, Elizabeth

“…This paper presents the construction and evaluation of SERP-test, a taxonomy aimed to improve communication between researchers and practitioners in the area…”
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How good are my search strings? Reflections on using an existing review as a quasi-gold standard by Tran, Huynh Khanh Vi, Börstler, Jürgen, Ali, Nauman bin, Unterkalmsteiner, Michael

“…Background: Systematic literature studies (SLS) have become a core research methodology in Evidence-based Software Engineering (EBSE). Search completeness,…”
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Reliability of search in systematic reviews: Towards a quality assessment framework for the automated-search strategy by Ali, Nauman Bin, Usman, Muhammad

“…The trust in systematic literature reviews (SLRs) to provide credible recommendations is critical for establishing evidence-based software engineering (EBSE)…”
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Towards innovation measurement in the software industry by Edison, Henry, bin Ali, Nauman, Torkar, Richard

“…► We perform and report on a systematic literature review in the field of software innovation measurement. ► We establish the current practices, mechanisms and…”
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Acceptance behavior theories and models in software engineering — A mapping study by Börstler, Jürgen, Ali, Nauman bin, Petersen, Kai, Engström, Emelie

“…The adoption or acceptance of new technologies or ways of working in software development activities is a recurrent topic in the software engineering…”
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A systematic literature review on the industrial use of software process simulation by Ali, Nauman Bin, Petersen, Kai, Wohlin, Claes

“…•A literature review of software process simulation modelling was performed.•None of the claimed benefits could be substantiated with evidence.•No evidence…”
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A critical appraisal tool for systematic literature reviews in software engineering by Ali, Nauman bin, Usman, Muhammad

“…Context: Methodological research on systematic literature reviews (SLRs) in Software Engineering (SE) has so far focused on developing and evaluating…”
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Investigating acceptance behavior in software engineering—Theoretical perspectives by Börstler, Jürgen, Ali, Nauman bin, Svensson, Martin, Petersen, Kai

“…Software engineering research aims to establish software development practice on a scientific basis. However, the evidence of the efficacy of technology is…”
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Experiences from conducting rapid reviews in collaboration with practitioners — Two industrial cases by Rico, Sergio, Ali, Nauman Bin, Engström, Emelie, Höst, Martin

“…Context: Evidence-based software engineering (EBSE) aims to improve research utilization in practice. It relies on systematic methods to identify, appraise,…”
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Double-counting in software engineering tertiary studies — An overlooked threat to validity by Börstler, Jürgen, bin Ali, Nauman, Petersen, Kai

“…Double-counting in a literature review occurs when the same data, population, or evidence is erroneously counted multiple times during synthesis. Detecting and…”
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A data-driven approach for understanding invalid bug reports: An industrial case study by Laiq, Muhammad, Ali, Nauman bin, Börstler, Jürgen, Engström, Emelie

“…Bug reports created during software development and maintenance do not always describe deviations from a system’s valid behavior. Such invalid bug reports may…”
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A tertiary study on links between source code metrics and external quality attributes by Iftikhar, Umar, Ali, Nauman Bin, Börstler, Jürgen, Usman, Muhammad

“…Several secondary studies have investigated the relationship between internal quality attributes, source code metrics and external quality attributes…”
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Industrial adoption of machine learning techniques for early identification of invalid bug reports by Laiq, Muhammad, Ali, Nauman bin, Börstler, Jürgen, Engström, Emelie

“…Despite the accuracy of machine learning (ML) techniques in predicting invalid bug reports, as shown in earlier research, and the importance of early…”
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