Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …

The migration of existing applications to the Cloud requires adapting them to a new
computing paradigm. Existing works have focused on migrating the whole application stack …

The enactment of business processes is generally supported by information systems that
record data about each process execution (aka case). This data can be analyzed via a …

Business processes entail a large number of decisions that affect their business
performance. The criteria used in these decisions are not always formally specified and …

The advances in measurement, regulation, and I+ C technologies (eg, the transition from
analog to digital technology, introduction of bus systems, etc.) and the use of PCs …

SLAs are contractually binding agreements between service providers and consumers,
mandating concrete numerical target values which the service needs to achieve. For service …

The coupling dependency metric (CDM) is a successful design quality metric. Here we apply
it to four case studies: run-time failure data for a COBOL registration system; maintenance …

In addition to studying the construction and evolution of software services, the software
engineering discipline needs to address the operation of continuously running software …

Abstract Service Level Agreements (SLAs), ie, contractually binding agreements between
service providers and clients, are gaining momentum as the main discriminating factor …

Security is an important quality aspect of modern open software systems. However, it is
challenging to keep such systems secure because of evolution. Security evolution can only …