International Business Machines Corporation

Beijing University of Chemical Tehcnology

Xiao-Yu Li

Hong Wei Sun

Jiangang Deng

Hua Wei Fan

Xin Zhao

Zhou Wen Ya

Xiao Ling Chen

Li Cao

Wen Ji Huang

Shuang Shuang Jia

Zheng Lei An

Jun Ye

Yi Chai

Hai-Qiao Wang

Teng Qiu

Examples described herein provide a computer-implemented method for identifying regression test failures that includes comparing a base code to a new code to locate an updated aspect of a program. The method further includes inserting debug code into corresponding source files for each of the base code and the new code for the updated aspect. The method further includes building a first image for the base code and a second image for the new code, the first and second images running in respective first and second containers. The method further includes comparing debugging outputs from a regression test of the respective first and second containers to identify a regression test failure. The method further includes implementing a corrective action to correct the regression test failure.

Identifying regression test failures

Aspects of the invention include systems and methods configured to efficiently evaluate the efforts of a code migration (e.g., porting task) between different platforms. A non-limiting example computer-implemented method includes receiving a function of a source platform. The function can include a plurality of fields. An initial vector is constructed for each of the plurality of fields. The initial vector encodes a value of the respective field according to an encoding rule. The initial vectors are merged into a single final vector and the final vector is classified into one of a plurality of system function families of the source platform. A vector of a target platform at a minimum distance to the final vector is identified and an assessment is provided that includes a difficulty in porting a project comprising the function between the source platform and the target platform based at least in part on the minimum distance.

Fast porting of projects

Aspects include generating a matrix based on a first sample of source code. Each cell in the matrix can correspond to a unique element in the source code. Each unique element can be encoded to a predetermined value according to an encoding rule. A first waveform is generated by combining a left-side curve and a right-side curve. The left-side curve encodes a first position of non-zero cells in each row of the matrix and the right-side curve encodes a last position of non-zero cells in each row of the matrix. A second sample of source code is identified that matches the first sample of source code based on a comparison of the first waveform to a second waveform constructed from the second sample of source code.

Shape-based code comparisons

The present invention relates to an extreme low formaldehyde emission UF resin with a novel structure, and a process for its preparation. This UF resin is produced from formaldehyde, urea, a long chain multi-aldehyde prepolymer, and some modifiers. Its process follows three steps: weak caustic, weak acid and weak caustic. By using this prepolymer, the modified UF resin has stable alkyl ether structure, and the residual aldehyde groups on the UF polymer chain could accelerate cross-linking instead of dissociative formaldehyde. The UF resin made from this invention has extreme low dissociative formaldehyde and simple technology. The boards produced from this resin have good physical performance and water resistance. Moreover, the formaldehyde emission of the boards is extreme low, achieving Japan F&#x22c6;&#x22c6;&#x22c6;&#x22c6; grade, the average emission value &#x2266;0.3 mg/L.

Extreme low formaldehyde emission UF resin with a novel structure and its preparation

Growing community of inventors

Beijing, China

Xiao-Yu Li