Software Service Innovation: An Action Research into Release Cycle Management

Fierce competition in the market is driving software vendors to rely on Software-as-a-Service (SaaS) strategies and to continuously match new software versions with customers’ needs and competitors’ moves. Although release management as a recurrent activity related to SaaS arguably shapes how a vendor services its customers, the literature is surprisingly limited on how software releases are managed to support SaaS strategies. Against this backdrop, we present a collaborative action-research study with Software Inc., a large multi-national software provider, focused on improving the release cycle management process for a complex security software service. The study is part of a comprehensive intervention into Software Inc. that combines a perspective rooted in software process improvement and engineering practices with one rooted in service delivery and customer interactions. The part that is reported in this dissertation draws on the service-dominant logic framework to analyze how the release cycle management process was organized to improve Software Inc.’s ongoing value co-creation with its customers. As a result, the study contributed to improving release cycle management at Software Inc. and it expands industry knowledge about the challenges and opportunities for software vendors to manage releases and improve the value delivered to and co-created with their customers. This added knowledge is of interest to both practitioners and researchers as SaaS strategies increasingly shape the industry with important implications for how software is released

SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators

Although Cloud Computing promises to lower IT costs and increase users' productivity in everyday life, the unattractive aspect of this new technology is that the user no longer owns all the devices which process personal data. To lower scepticism, the project SensorCloud investigates techniques to understand and compensate these adoption barriers in a scenario consisting of cloud applications that utilize sensors and actuators placed in private places. This work provides an interdisciplinary overview of the social and technical core research challenges for the trustworthy integration of sensor and actuator devices with the Cloud Computing paradigm. Most importantly, these challenges include i) ease of development, ii) security and privacy, and iii) social dimensions of a cloud-based system which integrates into private life. When these challenges are tackled in the development of future cloud systems, the attractiveness of new use cases in a sensor-enabled world will considerably be increased for users who currently do not trust the Cloud.Comment: 14 pages, 3 figures, published as technical report of the Department of Computer Science of RWTH Aachen Universit

Web development evolution: the assimilation of web engineering security

In today’s e-commerce environment, information is an incredibly valuable asset. Surveys indicate that companies are suffering staggering financial losses due to web security issues. Analyzing the underlying causes of these security breaches shows that a significant proportion of them are caused by straightforward design errors in systems and not by failures in security mechanisms. There is significant research into security mechanisms but there is little research into the integration of these into software design processes, even those processes specifically designed for Web Engineering. Security should be designed into the application development process upfront through an independent flexible methodology that contains customizable components

Web development evolution: the assimilation of web engineering security

In today’s e-commerce environment, information is an incredibly valuable asset. Surveys indicate that companies are suffering staggering financial losses due to web security issues. Analyzing the underlying causes of these security breaches shows that a significant proportion of them are caused by straightforward design errors in systems and not by failures in security mechanisms. There is significant research into security mechanisms but there is little research into the integration of these into software design processes, even those processes specifically designed for Web Engineering. Security should be designed into the application development process upfront through an independent flexible methodology that contains customizable components

Web engineering security: essential elements

Security is an elusive target in today’s high-speed and extremely complex, Web enabled, information rich business environment. This paper presents the idea that there are essential, basic organizational elements that need to be identified, defined and addressed before examining security aspects of a Web Engineering Development process. These elements are derived from empirical evidence based on a Web survey and supporting literature. This paper makes two contributions. The first contribution is the identification of the Web Engineering specific elements that need to be acknowledged and resolved prior to the assessment of a Web Engineering process from a security perspective. The second contribution is that these elements can be used to help guide Security Improvement Initiatives in Web Engineering

Model Based Development of Quality-Aware Software Services

Modelling languages and development frameworks give support for functional and structural description of software architectures. But quality-aware applications require languages which allow expressing QoS as a first-class concept during architecture design and service composition, and to extend existing tools and infrastructures adding support for modelling, evaluating, managing and monitoring QoS aspects. In addition to its functional behaviour and internal structure, the developer of each service must consider the fulfilment of its quality requirements. If the service is flexible, the output quality depends both on input quality and available resources (e.g., amounts of CPU execution time and memory). From the software engineering point of view, modelling of quality-aware requirements and architectures require modelling support for the description of quality concepts, support for the analysis of quality properties (e.g. model checking and consistencies of quality constraints, assembly of quality), tool support for the transition from quality requirements to quality-aware architectures, and from quality-aware architecture to service run-time infrastructures. Quality management in run-time service infrastructures must give support for handling quality concepts dynamically. QoS-aware modeling frameworks and QoS-aware runtime management infrastructures require a common evolution to get their integration

How can SMEs benefit from big data? Challenges and a path forward

Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.Peer ReviewedPostprint (author's final draft