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The psychological contract describes the employer-employee relationship as an individualised exchange between organisations and their members. This exchange clearly goes beyond what is usually agreed upon in a written work contract and extends into the area of values such as accountability and fairness. News coverage shows us many examples of how management by objectives and pay for performance are not effective in binding managers and employees to the interests of their employers. This is why psychological contracts are such a relevant issue these days. While existing research shows a positive relationship between unbroken psyc- logical contracts and motivation as well as in-role and extra-role behaviours, there has been little interest in the concept from the perspective of strategic human resource management or leadership research. The research presented by Maida Petersitzke focuses on these issues and thereby makes an important and very valuable contribution. After presenting a well-structured and clearly-written overview of existing research and the theoretical basis of psychological contracts – which has rarely been described in detail – the present research focuses on the following two issues: Maida Petersitzke presents a conceptual framework which affords the description of an organisational exchange offer that is sustainable and tied to the human resource strategy. She also provides an empirical study of leadership behaviours that facilitate a positive perception of the psychological contract by employees and thereby generate employee behaviours in the interest of the organisation.

On behalf of the Organizing Committee we are pleased to present the p- ceedings of the 2008 Symposium on Component-Based Software Engineering (CBSE). CBSE is concerned with the development of software-intensivesystems from independently developed software-building blocks (components), the - velopment of components, and system maintenance and improvement by means of component replacement and customization. CBSE 2008 was the 11th in a series of events that promote a science and technology foundation for achieving predictable quality in software systems through the use of software component technology and its associated software engineering practices. Wewerefortunateto haveadedicatedProgramCommitteecomprisingmany internationallyrecognizedresearchersandindustrialpractitioners.Wewouldlike to thank the members of the Program Committee and associated reviewers for their contribution in making this conference a success. We received 70 subm- sions and each paper was reviewed by at least three Program Committee m- bers (four for papers with an author on the Program Committee). The entire reviewing process was supported by the Conference Management Toolkit p- vided by Microsoft. In total, 20 submissions were accepted as full papers and 3 submissions were accepted as short papers.

This book constitutes the refereed proceedings of the 9th International Symposium on Search-Based Software Engineering, SSBSE 2017, held in Paderborn, Germany, in September 2017.  The 7 full papers and 5 short papers presented together with 4 challenge track and 2 students student track papers were carefully reviewed and selected from 26 submissions. SSBSE welcomes not only applications from throughout the software engineering lifecycle but also a broad range of search methods ranging from exact Operational Research techniques to nature-inspired algorithms and simulated annealing.

This book constitutes the refereed proceedings of the 12th International Symposium on Search-Based Software Engineering, SSBSE 2020, held in Bari, Italy, in October 2020. The 13 research papers and 5 short papers presented together with 1 keynote were carefully reviewed and selected from 34 submissions. SBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results. Due to the Corona pandemic SSBSE 2020 was held as a virtual event.

Existence of huge amounts of data on the Web has developed an undeferring need to locate right information at right time, as well as to integrating information effectively to provide a comprehensive source of relevant information. There is a need to develop efficient tools for analyzing and managing Web data, and efficiently managing Web information from the database perspective. The book proposes a data model called WHOM (Warehouse Object Model) to represent HTML and XML documents in the warehouse. It defines a set of web algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. These algebraic operators are used for change detection.

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