Current state and potential of variability management practices in software-intensive SMEs: Results from a regional industrial survey

Thörn, Christer

doi:10.1016/j.infsof.2009.10.009

Cited by 13 publications

(7 citation statements)

References 32 publications

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“…Although their focus is broader than ours, they confirm some of the challenges we identified, such as Figure 7: Reported strategies to combat complexity problems the visualization and evolution of models-the latter particularly with respect to dependency management. Thörn et al [41] survey variability management practices among regional Swedish small and medium-scale companies. Similar to our findings, they identify a broad range of variability documentation approaches, from ad-hoc to sophisticated approaches.…”

Section: Related Workmentioning

confidence: 99%

A survey of variability modeling in industrial practice

Berger

Rublack

Nair

et al. 2013

Proceedings of the Seventh International Workshop on Variability Modelling of Software-Intensive Systems

330

202

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Over more than two decades, numerous variability modeling techniques have been introduced in academia and industry. However, little is known about the actual use of these techniques. While dozens of experience reports on software product line engineering exist, only very few focus on variability modeling. This lack of empirical data threatens the validity of existing techniques, and hinders their improvement. As part of our effort to improve empirical understanding of variability modeling, we present the results of a survey questionnaire distributed to industrial practitioners. These results provide insights into application scenarios and perceived benefits of variability modeling, the notations and tools used, the scale of industrial models, and experienced challenges and mitigation strategies

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Section: Related Workmentioning

confidence: 99%

A survey of variability modeling in industrial practice

Berger

Rublack

Nair

et al. 2013

Proceedings of the Seventh International Workshop on Variability Modelling of Software-Intensive Systems

330

202

View full text Add to dashboard Cite

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“…A total of 27 valid responses were collected from 73 questionnaires distributed, achieving a response rate of 37 per cent, which is a satisfactory response rate compared to previous surveys in SMEs (Mostert et al , 2005; Thörn, 2010; Chakraborty et al , 2019).…”

Section: Data and Resultsmentioning

confidence: 94%

Document management practices in SMEs

Macías-Jiménez

Acosta-Fontalvo

Jimenez-Barros

2019

RMJ

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Purpose This research studied the current document management (DM) practices in small and medium-sized enterprises (SMEs) of a road freight transport sector in a South American city with the aim to determine strengths and challenges for improving information management. Design/methodology/approach The study was conducted using a survey approach based on measuring information management capabilities (IMC) through the following main dimensions: perception about DM practices, DM policies and tools, IT usage, organizational climate, and problems related to document management. Findings The main results from the work stated the challenges for these companies in adopting electronic document management systems (EDMS) and handling information effectively even though the business experience. Also, the study highlighted the top management commitment in terms of investments for IMC development. Nevertheless, this economic support tends to be not enough to afford the EDMS implementation. Originality/value Regarding the importance of information in road freight transport sector, this paper explored DM practices in a field in which no previous studies related to DM had been conducted and set the basis to make decisions to improve information management performance.

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“…However, as suggested by [39], interesting qualitative arguments can be made such studies. The context captured in the demographics of the survey limits the external generalizability.…”

Section: Validity Threatsmentioning

confidence: 92%

“…A representative sample (even for a local survey) has been considered challenging, the author [39] points out that: "This [remark by the authors: a representative sample] would have been practically impossible, since it is not feasible to characterize all of the variables and properties of all the organizations in order to make a representative sample." Similar observations and limitations of statistical inference have been discussed by Miller [26].…”

Section: Methodsmentioning

confidence: 99%

Heterogeneous Systems Testing Techniques: An Exploratory Survey

Ghazi

Petersen

Börstler

2015

Lecture Notes in Business Information Processing

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Heterogeneous systems comprising sets of inherent subsystems are challenging to integrate. In particular, testing for interoperability and conformance is a challenge. Furthermore, the complexities of such systems amplify traditional testing challenges. We explore (1) which techniques are frequently discussed in literature in context of heterogeneous system testing that practitioners use to test their heterogeneous systems; (2) the perception of the practitioners on the usefulness of the techniques with respect to a defined set of outcome variables. For that, we conducted an exploratory survey. A total of 27 complete survey answers have been received. Search-based testing has been used by 14 out of 27 respondents, indicating the practical relevance of the approach for testing heterogeneous systems, which itself is relatively new and has only recently been studied extensively. The most frequently used technique is exploratory manual testing, followed by combinatorial testing. With respect to the perceived performance of the testing techniques, the practitioners were undecided regarding many of the studied variables. Manual exploratory testing received very positive ratings across outcome variables.

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Current state and potential of variability management practices in software-intensive SMEs: Results from a regional industrial survey

Cited by 13 publications

References 32 publications

A survey of variability modeling in industrial practice

A survey of variability modeling in industrial practice

Document management practices in SMEs

Heterogeneous Systems Testing Techniques: An Exploratory Survey

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