8 research outputs found
Exploring Barriers and Opportunities in Adopting Crowdsourcing Based New Product Development in Manufacturing SMEs
Crowdsourcing is an innovative business practice of obtaining needed services, ideas, or content or even funds by soliciting contributions from a large group of people (the ‘Crowd’). The potential benefits of utilizing crowdsourcing in product design are well-documented, but little research exists on what are the barriers and opportunities in adopting crowdsourcing in new product development (NPD) of manufacturing SMEs. In order to answer the above questions, a Proof of Market study is carried out on crowdsourcing-based product design under an Innovate UK funded Smart project, which aims at identifying the needs, challenges and future development opportunities associated with adopting crowdsourcing strategies for NPD. The research findings from this study are reported here and can be used to guide future development of crowdsourcing-based collaborative design methods and tools and provide some practical references for industry to adopt this new and emerging collaborative design method in their business
The enigmatic mitochondrial genome of Rhabdopleura compacta (Pterobranchia) reveals insights into selection of an efficient tRNA system and supports monophyly of Ambulacraria
<p>Abstract</p> <p>Background</p> <p>The Hemichordata comprises solitary-living Enteropneusta and colonial-living Pterobranchia, sharing morphological features with both Chordata and Echinodermata. Despite their key role for understanding deuterostome evolution, hemichordate phylogeny is controversial and only few molecular data are available for phylogenetic analysis. Furthermore, mitochondrial sequences are completely lacking for pterobranchs. Therefore, we determined and analyzed the complete mitochondrial genome of the pterobranch <it>Rhabdopleura compacta </it>to elucidate deuterostome evolution. Thereby, we also gained important insights in mitochondrial tRNA evolution.</p> <p>Results</p> <p>The mitochondrial DNA of <it>Rhabdopleura compacta </it>corresponds in size and gene content to typical mitochondrial genomes of metazoans, but shows the strongest known strand-specific mutational bias in the nucleotide composition among deuterostomes with a very GT-rich main-coding strand. The order of the protein-coding genes in <it>R. compacta </it>is similar to that of the deuterostome ground pattern. However, the protein-coding genes have been highly affected by a strand-specific mutational pressure showing unusual codon frequency and amino acid composition. This composition caused extremely long branches in phylogenetic analyses. The unusual codon frequency points to a selection pressure on the tRNA translation system to codon-anticodon sequences of highest versatility instead of showing adaptations in anticodon sequences to the most frequent codons. Furthermore, an assignment of the codon AGG to Lysine has been detected in the mitochondrial genome of <it>R. compacta</it>, which is otherwise observed only in the mitogenomes of some arthropods. The genomes of these arthropods do not have such a strong strand-specific bias as found in <it>R. compacta </it>but possess an identical mutation in the anticodon sequence of the tRNA<sub>Lys</sub>.</p> <p>Conclusion</p> <p>A strong reversed asymmetrical mutational constraint in the mitochondrial genome of <it>Rhabdopleura compacta </it>may have arisen by an inversion of the replication direction and adaptation to this bias in the protein sequences leading to an enigmatic mitochondrial genome. Although, phylogenetic analyses of protein coding sequences are hampered, features of the tRNA system of <it>R. compacta </it>support the monophyly of Ambulacraria. The identical reassignment of AGG to Lysine in two distinct groups may have occurred by convergent evolution in the anticodon sequence of the tRNA<sub>Lys</sub>.</p
A systematic mapping study on crowdsourced requirements engineering using user feedback
Crowdsourcing is an appealing concept for achieving good enough requirements and just-in-time requirements engineering (RE). A promising form of crowdsourcing in RE is the use of feedback on software systems, generated through a large network of anonymous users of these systems over a period of time. Prior research indicated implicit and explicit user feedback as key to RE-practitioners to discover new and changed requirements and decide on software features to add, enhance, or abandon. However, a structured account on the types and characteristics of user feedback useful for RE purposes is still lacking. This research fills the gap by providing a mapping study of literature on crowdsourced user feedback employed for RE purposes. On the basis of the analysis of 44 selected papers, we found nine pieces of metadata that characterized crowdsourced user feedback and that were employed in seven specific RE activities. We also found that the published research has a strong focus on crowd-generated comments (explicit feedback) to be used for RE purposes, rather than employing application logs or usage-generated data (implicit feedback). Our findings suggest a need to broaden the scope of research effort in order to leverage the benefits of both explicit and implicit feedback in RE
Two’s company, three’s a crowd: a case study of crowdsourcing software development
Crowdsourcing is an emerging and promising approach which
involves delegating a variety of tasks to an unknown workforce—
the crowd. Crowdsourcing has been applied quite successfully in
various contexts from basic tasks on Amazon Mechanical Turk to
solving complex industry problems, e.g. InnoCentive. Companies
are increasingly using crowdsourcing to accomplish specific software
development tasks. However, very little research exists on
this specific topic. This paper presents an in-depth industry case
study of crowdsourcing software development at a multinational
corporation. Our case study highlights a number of challenges that
arise when crowdsourcing software development. For example,
the crowdsourcing development process is essentially a waterfall
model and this must eventually be integrated with the agile
approach used by the company. Crowdsourcing works better for
specific software development tasks that are less complex and
stand-alone without interdependencies. The development cost was
much greater than originally expected, overhead in terms of company
effort to prepare specifications and answer crowdsourcing
community queries was much greater, and the time-scale to complete
contests, review submissions and resolve quality issues was
significant. Finally, quality issues were pushed later in the lifecycle
given the lengthy process necessary to identify and resolve
quality issues. Given the emphasis in software engineering on
identifying bugs as early as possible, this is quite problematic