International Business Machines Corporation

Andrzej Jan Wrobel

Lukasz Grzegorz Cmielowski

Tomasz Kazalski

Artur M Gruszecki

Tymoteusz Gedliczka

Tomasz Sekman

Marek Franczyk

Marcin Filip

Mateusz S Matejczyk

Kamil Smoron

Sameep Mehta

Himanshu Gupta

Pawel Slowikowski

Rajmohan Chandrahasan

Umit M Cakmak

Emma Rose Tucker

Robert Karcz

Methods, systems, and computer program products for identifying anomalous transformations using lineage data are provided herein. A computer-implemented method includes generating a set of column profiles for a corresponding set of columns within one or more datasets based at least in part on lineage data and glossary data, wherein the lineage data comprises information related to transformations performed on each column in the set by a computing platform, and wherein the glossary data comprises information related to one or more terms assigned to one or more of the columns; obtaining information related to a new transformation involving at least one column in the set of columns; comparing the new transformation to the set of column profiles to determine whether the new transformation is anomalous; and in response to determining the new transformation is anomalous, outputting an alert to a user of the computing platform.

Identifying anomalous transformations using lineage data

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining an invoked database query for execution on a database; scanning zone data from at least one data node of the database in dependence on the examining, the at least one data node of the database having a storage system and storing in the storage system table data of a table, wherein security tags are associated to respective rows of the table, and wherein the zone data specifies attributes of storage of the table within respective storage system extents of the storage system; identifying, using the zone data, at least one excludible extent of the storage system extents; and excluding the at least one excludible extent from an IO data access operation in processing of the invoked database query.

Database query processing

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: identifying an invoked database query for execution on a database, the invoked database query being associated to a user; generating an execution plan for executing the database query on the database; wherein the generating the execution plan for execution of the database query on the database includes establishing an ordering of first and second tables, the ordering of the first and second tables being in dependence on an access privilege attribute of the user in respect to the first table; and executing the database query according to the execution plan.

Row secure table plan generation

The present disclosure relates to a method comprising incorporating a utilization level field for a set of materialized views of database system in a database catalog of the database system. A computer process may be generated to run during a defined time period on a spare host of the database system. The computer process is configured to monitor utilization of the set of materialized views and to collect data of utilized materialized views in a dedicated registry. A check if each materialized view of the set of materialized views is present in the registry may be periodically be performed. The utilization level of a materialized view may be adapted based on its collected data in the registry. A check in catalog utilization levels of the set of materialized views may periodically be performed and based on the utilization levels utilization of the set of materialized views may be adapted.

Materialized views assistant

The present disclosure relates to a method for extending kernel functionality of a kernel of a container-based virtualization system. The method comprises: providing in the container-based virtualization system a compiling container for compiling kernel modules against the kernel of the container-based virtualization system, and an application container for extending kernel functionality of the kernel using a kernel module. The application container may input the kernel module to the compiling container. The compiling container may compile the kernel module in the compiling container. The application container may receive from the compiling container the compiled kernel module. The application container may load the compiled kernel module to the kernel of the system for enabling the extension of the kernel functionality.

Container-based virtualization system extending kernel functionality using kernel modules compiled by a compiling container and loaded by an application container

The present disclosure relates to a method using a database engine for migrating data records from a source database to a target database, where said data records are arranged in a sorted source table of the source database in accordance with a clustered-base-table order following the Hilbert-Filling-Curve algorithm. The method comprises configuring the database engine for storing the CBT order of each data record of the source table in a reference table to said source table or a in a column of said source table. A reading step may be performed to read said data records from said source table, wherein in said reading step said stored CBT order is used. The read data and the stored CBT order may be transferred to the target database in accordance with the stored CBT order. The transferred data may be written at the target database in accordance with the CBT order.

Method for migrating data records from a source database to a target database

Embodiments include a system for release cycle optimization; the system includes a processor configured to perform a method. The method includes accessing, by a processor, historical data relating to a plurality of software version each having a plurality of attributes; selecting a subset of attributes from the plurality of attributes; receiving a set of data values for each of the subset of attributes from the plurality of attributes; performing one or more simulations of a software development cycle utilizing the set of data values; and obtaining a set of results from the one or more simulations comprising a plurality of predicted field defects values corresponding to each of the set of data values.

Release cycle optimization based on significant features values simulation

A current data set with multiple records is fed into a data analysis model. The current data set is limited to data occurring in a current time window with a predetermined window size. The model is run on the current data set and a current data prediction result is generated. Limited historical data sets having multiple records are selected. Each record has values for several features. Each historical data set is limited to data occurring in a historical time window having the window size. A historical class label distribution is determined for the historical data sets and an upper and lower control limit are determined for the historical data sets using the historical class label distribution. A current class label distribution having a mean value is determined for the current prediction result. An alert is provided when the mean value is not between the upper and lower control limit.

Prediction quality assessment

Embodiments include a method for generation of test scenarios based on risk analysis. The method includes receiving a first set of code test scenarios, the first set of code test scenarios configured to test one or more first code components, the first code components each including first code attributes. The method also includes determining a probability of finding defects in the first code components based on the first code attributes. The method also includes generating a second set of code test scenarios based on the determining the probability of finding defects in the first code components based on the first code attributes, where the second set of one or more test scenarios is configured to test one or more second code components based on the second code attributes.

Generation of test scenarios based on risk analysis

The disclosed herein relates to a method for failure rate prediction of a feature of a system under development. The method is executed by a processor coupled to a memory. The method includes defining a feature state of the feature during a predetermined time interval, the predetermined time interval being associated with a development stage of the system. The method also includes assigning a first defect class value to the feature for the predetermined time interval, the first defect class value configured to indicate a first condition and selecting, when a defect is reported for the feature, a second defect class value indicating a second condition, the second condition being associated with a higher failure rate than the first condition. The method can be embodied in system and a computer program product.

Training set creation for classifying features of a system under agile development

A method and system for communicating supplemental data for nodes of a graph. A visual representation of the graph is divided into portions of a computer screen. Each portion is a rectangle corresponding to a respective node of the graph. Dividing the visual representation of the graph into portions includes determining a number of pixels in rectangles displayed on the computer screen along with the graph. Supplemental data for each respective node, together with an offset distance between a reference point of each respective node and a reference point of the supplemental data for each respective node, is encoded steganographically. Fixed length attributes related to the respective node are prioritized. The attributes are encoded steganographically into the rectangle corresponding to the respective node, starting with a highest priority attribute of the fixed length attributes and continuing sequentially according to a priority of the remaining attributes of the fixed length attributes.

Enhancing graph visualization with supplemental data

The disclosure provides an approach for automatically analyzing data related to software development, such as the number of defects, number of code line changes, number of test cases covering code, etc., and creating exploratory tests based on tour templates. In one embodiment, a test generating application matches descriptions, tags and/or keywords in the tour templates with data from development tools used to develop and test software. The test generating application combines the tour templates with the matching data to create exploratory tests for testers to perform. In addition, the test generating application may rank the created tests based on a measure of importance and determine a number of highest ranking tests or test types that can be executed given a capacity of the software tester or testing team. The highest ranking tests may then be provided to the software tester or testing team to perform prior to the software's release.

Automatic creation of touring tests

A method for performing software error detection and prediction. The method includes identifying a plurality of software components in a computer software product. For each of the software components of the plurality of software components, the risk-relevant historical data pertaining to the respective software component is measured, then classified into at least a set of risk-increasing data and a set of risk-decreasing data. The set of risk-increasing data and the set of risk-decreasing data are then normalized, and a failure risk value for the respective software component is calculated by subtracting a weighted sum of the normalized values for the risk-decreasing data from a weighted sum of the normalized values for the risk-increasing data.

Risk formula for erroneous software components detection

A method and system for communicating supplemental data for nodes of a graph representing a system. A visual representation of the graph is divided into a portions, each portion of the visual representation of the graph being a rectangle corresponding to a respective node of the graph, wherein the visual representation is an area of a computer screen displaying the graph. Supplemental data for each respective node, together with an offset distance between a reference point of each respective node and a reference point of the supplemental data for each respective node, is encoded steganographically into the portion of the graphical representation corresponding to each respective node.

Growing community of inventors

Cracow, Poland

Andrzej Jan Wrobel