This empirical research was undertaken as part of a multi-method programme of research to investigate unsupported claims made of object-oriented technology. A series of subject-based laboratory experiments, including an internal replication, tested the eeect of inheritance depth on the maintainability of object-oriented software. Subjects were timed performing identical maintenance tasks on obj...

Propositionalization has already been shown to be a promising approach for robustly and effectively handling relational data sets for knowledge discovery. In this paper, we compare up-to-date methods for propositionalization from two main groups: logic-oriented and databaseoriented techniques. Experiments using several learning tasks — both ILP benchmarks and tasks from recent international dat...

Correlational studies supporting the link between learners’ multiple intelligences and their learning are superseded by interventionist attempts to explore direct applications of Multiple Intelligence (MI) Theory in language teaching and learning. This quasi-experimental study examined the extent to which engaging ELT major university students in writing tasks, compatible to their dominant inte...

Our research examines the strategies employed by users during exploratory learning, and what they learn about how a device works and how to accomplish tasks using the device. Initial empirical and modelling work suggests that users typically conduct device-oriented exploration resulting in the acquisition of specifically device-oriented knowledge, but not directly of taskoriented knowledge. Alt...

We consider a set of real-time periodic tasks where some tasks are preferably executed as soon as possible (ASAP) and others as late as possible (ALAP) while still meeting their deadlines. After introducing the idea of preference-oriented (PO) execution, we formally define the concept of PO-optimality. For fully-loaded systems (with 100% utilization), we first propose a PO-optimal scheduler, na...

Our research aims at building interactive robots and agents that can expand their knowledge by interacting with human users. In this paper, we focus on learning goal-oriented tasks from situated interactive instructions. Learning the structure of novel tasks and how to execute them is a challenging computational problem requiring the agent to acquire a variety of knowledge including goal defini...

Humans have been observed to become disoriented when using menu or hypertext systems. Similar phenomena have been reported by software developers, often manifesting as a feeling of lostness while exploring a software system. To investigate this phenomena in the context of software development, we undertook a field study, observing eight developers of the open-source Eclipse project for two hour...

Traditionally, real-time scheduling algorithms prioritize tasks solely based on their timing parameters and cannot effectively handle tasks that have different execution preferences . In this paper, for a set of periodic real-time tasks running on a single processor, where some tasks are preferably executed as soon as possible (ASAP) and others as late as possible (ALAP) , we investigate Prefer...

the purpose of this study was to investigate the impact of weblog task assessment on iranian efl learners’ reading ability. to this purpose, a group of 30 english language students (both male and female) in rozaneh language institute in najafabad were selected based on their performance on the opt. the researchers tried to select a homogeneous sample in terms of age factor and proficiency level...