Abstract: The present specification describes a computer-implemented method. According to the method, a programming task to be executed is received. A completed task that is similar to the programming task to be executed is identified from a database of completed tasks. Supporting documentation associated with the completed task is extracted and supporting material associated with the completed task is generated and transmitted to a computing device which is to execute the programming task.

Abstract: Automated classification of non-structure data streams from a plurality of Internet of Things (IoT) devices includes receiving, by a computer, from the plurality of IoT devices a data stream including a set of labeled readings S with a predetermined sample size n and a predetermined partition size m. The received data stream is partitioned into a partition set S? including m readings. The computer determines a set of features associated with the data stream based on the partition set S? by applying feature engineering techniques. A vector representation of the obtained set of features is built by the computer to place each feature on a same range scale. A predetermined minimum number of layers and neurons is then selected based on the set of features for training a neural network. Finally, non-structured data streams from new or unknown data sources can be classified using the trained neural network.

Abstract: A computer system for configuring an Integrated Development Environment display is provided. The computer system receives a list of system artifacts that is categorized by at least one artifact type and indexed by affected source code elements. In response to a user beginning an IDE session, the computer system assigning an impact relevance threshold to the user and, in response to the user selecting a source code element, the computer system identifies artifacts from the list of artifacts that affect the selected source code element. The computer system, in accordance with impact values assigned to the artifact types for the source code element, selects from the identified artifacts, a set of display artifacts having assigned impact values that meet or exceed the impact relevance threshold assigned to the user. The computer system the set of display artifacts on an IDE display element.

Abstract: Monitoring indoor environmental conditions is provided. Sensor data and its corresponding time stamps from is collect from a number of environmental sensors within an enclosed environment. A set of all possible states is defined for a specified time period, each state representing a range of sensor data values. A probability of the system changing from any one state to another is modeled according to a Markov chain. When a new sensor data value is received from a sensor it is compared to a last sensor data value of a previous state, and a probability of transition from the previous state to the current state is determined. If the probability of transition from the previous state to the current state is less than a predetermined threshold, an anomaly is detected, and a service request is generated.

Abstract: Monitoring indoor environmental conditions is provided. Sensor data and its corresponding time stamps from is collect from a number of environmental sensors within an enclosed environment. A set of all possible states is defined for a specified time period, each state representing a range of sensor data values. A probability of the system changing from any one state to another is modeled according to a Markov chain. When a new sensor data value is received from a sensor it is compared to a last sensor data value of a previous state, and a probability of transition from the previous state to the current state is determined. If the probability of transition from the previous state to the current state is less than a predetermined threshold, an anomaly is detected, and a service request is generated.