Management Challenges for DevOps Adoption within UK SMEs

The DevOps phenomenon is gathering pace as more UK organisations seek to leverage the benefits it can potentially bring to software engineering functions. However substantial organisational change is inherent to adopting DevOps, especially where there are prior and established methods. As part of a wider piece of doctoral research investigating the management challenges of DevOps adoption, we present early findings of a six month qualitative diary study following the adoption of DevOps within a UK based SME with over 200 employees. We find that within our case study organisation, the DevOps approach is being adopted for the development of a new system used both internally and by customers. DevOps, conceptually, appears to be generally well regarded, but in reality is proving difficult to fully adopt. This difficulty is down to a combination of necessity in maintaining a legacy system, lack of senior management buy-in, managerial structure and resistance. Additionally, we are finding evidence of job crafting, especially with the software developers. Taken together, we put forward the argument that DevOps is an interdisciplinary topic which would greatly benefit from further management and potentially psychology oriented research attention

Evaluating the Legacy Careers Project.

The Legacy Careers Project was a five day programme of career enrichment activities for schools in East London. The programme ran from June to December 2013 with students moving from Year 8 to Year 9. It provided information and activities to support students to better understand their future career options. The project takes its inspiration from the Olympic Games and is informed by the opportunities offered by Queen Elizabeth Olympic Park. This paper sets out the findings of an evaluation of the project conducted by the International Centre for Guidance Studies. The evaluation concludes that the project was successful. Evaluators noted the delivery of an effective and coherent career learning programme that aligned well with best practice in the sector. Key indicators of success are as follows: • Students who participated in the programme reported that they enjoyed the experience and found it useful; • A high level of learning could be observed throughout the programme; • Students reported that they had developed their skills and attributes through the programme; • There was evidence of greater purposefulness in thinking about their next career destination; • The programme exceeded the initial target of 200 participants by providing 770 students (year 8, moving to year 9) and an additional 70 team leaders (year 12) with career enrichment activities outside of the classroom; • There was a high level of positive engagement from the schools involved in the programme; and • The programme also provided opportunities for a group of sixth form team leaders. These students also reported improvements in their self-confidence (53%), leadership skills (47%) and other skills and attributes.London Legacy Development Corporatio

ImageJ2: ImageJ for the next generation of scientific image data

ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions from non-programmers, amateur programmers, and professional developers alike. Enabling such a diversity of contributors has resulted in a large community that spans the biological and physical sciences. However, a rapidly growing user base, diverging plugin suites, and technical limitations have revealed a clear need for a concerted software engineering effort to support emerging imaging paradigms, to ensure the software's ability to handle the requirements of modern science. Due to these new and emerging challenges in scientific imaging, ImageJ is at a critical development crossroads. We present ImageJ2, a total redesign of ImageJ offering a host of new functionality. It separates concerns, fully decoupling the data model from the user interface. It emphasizes integration with external applications to maximize interoperability. Its robust new plugin framework allows everything from image formats, to scripting languages, to visualization to be extended by the community. The redesigned data model supports arbitrarily large, N-dimensional datasets, which are increasingly common in modern image acquisition. Despite the scope of these changes, backwards compatibility is maintained such that this new functionality can be seamlessly integrated with the classic ImageJ interface, allowing users and developers to migrate to these new methods at their own pace. ImageJ2 provides a framework engineered for flexibility, intended to support these requirements as well as accommodate future needs

Investigating the Feasibility of Open Development of Operations Support Solutions

The telecommunications Operations Support Systems supply chain must address many stakeholders: R&D, Product and Requirements Management, Purchasing, Systems Integration, Systems Administration and Users. While the management of next generation networks and services poses significant technical challenges, the present supply chain, market configuration, and business practices of the OSS community are an obstacle to rapid innovation. Forums for open development could potentially provide a medium to shorten this supply chain for the deployment of workable systems. This paper discusses the potential benefits and barriers to the open development of OSS for the telecommunications industry. It proposes the use of action research to execute a feasibility study into the open development of OSS software solutions within an industry wide Open OSS project

A multiphysics and multiscale software environment for modeling astrophysical systems

We present MUSE, a software framework for combining existing computational tools for different astrophysical domains into a single multiphysics, multiscale application. MUSE facilitates the coupling of existing codes written in different languages by providing inter-language tools and by specifying an interface between each module and the framework that represents a balance between generality and computational efficiency. This approach allows scientists to use combinations of codes to solve highly-coupled problems without the need to write new codes for other domains or significantly alter their existing codes. MUSE currently incorporates the domains of stellar dynamics, stellar evolution and stellar hydrodynamics for studying generalized stellar systems. We have now reached a "Noah's Ark" milestone, with (at least) two available numerical solvers for each domain. MUSE can treat multi-scale and multi-physics systems in which the time- and size-scales are well separated, like simulating the evolution of planetary systems, small stellar associations, dense stellar clusters, galaxies and galactic nuclei. In this paper we describe three examples calculated using MUSE: the merger of two galaxies, the merger of two evolving stars, and a hybrid N-body simulation. In addition, we demonstrate an implementation of MUSE on a distributed computer which may also include special-purpose hardware, such as GRAPEs or GPUs, to accelerate computations. The current MUSE code base is publicly available as open source at http://muse.liComment: 24 pages, To appear in New Astronomy Source code available at http://muse.l

Global perspectives on legacy systems

Summarises findings of two international workshops on legacy systems, held in conjunction with an EPSRC managed programme. Issues covered include the nature and dynamics of legacy systems, the co-evolution of software and organisations, issues around software as a technology (its engineering and its management), and organisational/people issues