Engaging with stakeholders or constructing them? Attitudes and assumptions in stakeholder software

New activists are engaging in a range of extra-parliamentary activities, including extensive use of the internet, to create political change at local, national and international levels. As new activists become more effective, more sophisticated and, above all, more organised, traditional public relations or ‘PR spin’ is increasingly exposed as not just ineffective, but also an unethical way to respond to criticisms. But growing numbers of state and business organisations are trying to create new relationships with stakeholders that are inclusive, sustainable and aligned with the principles of corporate social responsibility (CSR). A range of stakeholder communication software packages claim to guide and support organisations wishing to create such relationships. However, these software packages can do more than merely offer guidance and support. They can actively influence how an organisation engages with stakeholders by embodying particular discourses that construct stakeholders as adversaries. This article examines two stakeholder software packages, showing how each one’s rhetoric of inclusion accompanies discourses that recreate adversarial relationships between organisation and stakeholders. The article sets such developments against the broad backdrop of developing notions of CSR, arguing that the uncritical use of stakeholder communication packages can reduce CSR to ‘more PR spin’.

Evolutionary Testing of Autonomous Software Agents

A system built in terms of autonomous agents may require even greater correctness assurance than one which is merely reacting to the immediate control of its users. Agents make substantial decisions for themselves, so thorough testing is an important consideration. However, autonomy also makes testing harder; by their nature, autonomous agents may react in different ways to the same inputs over time, because, for instance they have changeable goals and knowledge. For this reason, we argue that testing of autonomous agents requires a procedure that caters for a wide range of test case contexts, and that can search for the most demanding of these test cases, even when they are not apparent to the agents’ developers. In this paper, we address this problem, introducing and evaluating an approach to testing autonomous agents that uses evolutionary optimization to generate demanding test cases.

Knowledge mediation in software quality engineering

The risk of failure of the software development process remains high despite many attempts to improve the quality of software engineering. Contemporary approaches to process assurance, such as the capability maturity model have not prevented systemic failures, nor have project management methodologies provided guarantees of software quality. The paper proposes an approach to software quality assurance based on a knowledge mediated concurrent audit, which incorporates essential feedback processes. Through a tightly integrated approach to quality audit, programmers would be empowered to use any chosen methodology to advantage, supported by intelligent monitoring of the essential interactions which occur in the development process. An experimental application implementing some aspects of the proposal is described