Abstract: A test case generation method includes in a processor, extracting descriptions from document artifacts, extracting a first set of keywords from the descriptions, categorizing the descriptions to a first set and a second set, extracting a second set of keywords that occur in the second set and generating a test case from the second set of keywords.

Abstract: Methods and systems for identifying conditional actions in a business process are disclosed. In accordance with one such method, text fragments are extracted from input documents. In addition, a plurality of pairs of the text fragments that respectively include text fragments that are similar according to a pre-defined similarity standard are determined. For each pair of at least a subset of the pairs, at least one difference between the text fragments of the corresponding pair is determined. Further, at least two particular pairs of the subset of the pairs are merged in response to determining that the particular pairs have at least one of the determined differences in common. Additionally, the merged particular pairs are output to indicate the conditional actions in the business process.

Abstract: A test case generation system includes a processor, a process residing on the processor and configured to extract descriptions from document artifacts, extract a first set of keywords from the descriptions, categorize the descriptions to a first set and a second set, extract a second set of keywords that occur in the second set and generate a test case from the second set of keywords.

Abstract: A computer implemented method, a computer system, and a program for generating a parser combination. The method includes: generating a parser combination by combining parsers each associated with at least one grammar description, where the step is carried out using (i) at least one grammar description means and (ii) a computer device. The computer system includes: a processor, a memory connected to the processor, and a parser generator for generating a parser combination in the memory by combining parsers each associated with at least one grammar description, and at least one grammar description type means.

Abstract: A test case generation system includes a processor, a process residing on the processor and configured to extract descriptions from document artifacts, extract a first set of keywords from the descriptions, categorize the descriptions to a first set and a second set, extract a second set of keywords that occur in the second set and generate a test case from the second set of keywords.

Abstract: A test case generation method includes in a processor, extracting descriptions from document artifacts, extracting a first set of keywords from the descriptions, categorizing the descriptions to a first set and a second set, extracting a second set of keywords that occur in the second set and generating a test case from the second set of keywords.

Abstract: A technology projection supporting apparatus includes a describing section extracting unit and steps for extracting a problem describing section and an effect describing section from each technical document, a technical phrase extraction unit and steps to extract a technical phrase, which indicates a matter to be achieved by a technology, from each of the problem describing section and the effect describing section, an impact determination unit and steps for determining a business impact to be made by the matter indicated by the extracted technical phrase, a naming unit and steps for naming the extracted technical phrase; and a technology map generation unit for generating a technology map. The generated technology map has axes indicating time length to be required to implement technology and business impact.

Abstract: Properly detects an anomaly on the basis of directional data that are obtained in sequence from a monitored object.

Abstract: A computer-implemented method, program, and system for identifying non-self-descriptive terms in electronic documents. The computer-implemented method for identifying a non-self-descriptive term in an electronic document, includes a memory and a processor communicatively coupled to the memory and configured to execute the steps of a method. The method includes acquiring a noun included in the corpus data. The method further includes calculating a qualifying level and a qualified level in the corpus data related to each known in the corpus data. The method further includes identifying one or more nouns included in the corpus data as having a qualifying level and/or qualified level satisfying a predetermined condition. The method further includes presenting a term related to one or more of the nouns in the electronic document as a candidate for the non-self-descriptive term in the electronic document.

Abstract: A computer system, method, and article of manufacture for extracting a term from electronic document data that includes a text segment. The system includes: a first extraction unit that uses a first text processing information to extract a noun word from the document data; a second extraction unit that uses a second text processing information to extract a term candidate in relation to the noun word or a corpus that includes text data described in the same language used in the document data; a weight assignment unit that uses a third text processing information to select which type to assign a weight from the plurality of types and assigns the weight to the selected type for each noun word and term candidate; a determination unit that determines the type to which the noun word and term candidate belong; and an output unit to output the noun word and term candidate.

Abstract: A computer system, method, and article of manufacture for extracting a term from electronic document data that includes a text segment. The system includes: a first extraction unit that uses a first text processing information to extract a noun word from the document data; a second extraction unit that uses a second text processing information to extract a term candidate in relation to the noun word or a corpus that includes text data described in the same language used in the document data; a weight assignment unit that uses a third text processing information to select which type to assign a weight from the plurality of types and assigns the weight to the selected type for each noun word and term candidate; a determination unit that determines the type to which the noun word and term candidate belong; and an output unit to output the noun word and term candidate.

Abstract: Sentence boundaries in noisy conversational transcription data are automatically identified. Noise and transcription symbols are removed, and a training set is formed with sentence boundaries marked based on long silences or on manual markings in the transcribed data. Frequencies of head and tail n-grams that occur at the beginning and ending of sentences are determined from the training set. N-grams that occur a significant number of times in the middle of sentences in relation to their occurrences at the beginning or ending of sentences are filtered out. A boundary is marked before every head n-gram and after every tail n-gram occurring in the conversational data and remaining after filtering. Turns are identified. A boundary is marked after each turn, unless the turn ends with an impermissible tail word or is an incomplete turn. The marked boundaries in the conversational data identify sentence boundaries.

Abstract: To provide a technique for generating, at a high speed, a smaller-sized set that satisfies an intended property such as, for example, being pair-wise, and includes many test cases that match a set of existing test cases given as an input, candidates to be used from a set of existing input test cases are determined in the following manner: for some parameters, values to be held by test case candidates are determined; test cases having the determined values, among those included in the set of input test cases, are selected as the candidates. A test case having the highest score among one or more test case candidates generated with the method of the related art and one or more test case candidates selected from the set of input test cases is added to a set of output test cases.

Abstract: To provide a technique for generating, at a high speed, a smaller-sized set that satisfies an intended property such as, for example, being pair-wise, and includes many test cases that match a set of existing test cases given as an input, candidates to be used from a set of existing input test cases are determined in the following manner: for some parameters, values to be held by test case candidates are determined; test cases having the determined values, among those included in the set of input test cases, are selected as the candidates. A test case having the highest score among one or more test case candidates generated with the method of the related art and one or more test case candidates selected from the set of input test cases is added to a set of output test cases.

Abstract: A computer implemented method, a computer system, and a program for generating a parser combination. The method includes: generating a parser combination by combining parsers each associated with at least one grammar description, where the step is carried out using (i) at least one grammar description means and (ii) a computer device. The computer system includes: a processor, a memory connected to the processor, and a parser generator for generating a parser combination in the memory by combining parsers each associated with at least one grammar description, and at least one grammar description type means.