<prompt> Theha algorithm ho bona khoutu e fosahetseng.nan  <response>: Instruction in English: Develop an algorithm to detect faulty code. . Response in English: Heres an outline of one approach to detecting faulty code:1. Measure the code quality: Utilize code quality metrics to check how well the code is written. A few of the common metrics to measure the code quality are - cyclomatic complexity, duplicate code percentage, coupling between objects, cohesion, code coverage and depth of inheritance. The aspect of code quality that demands the most attention must be identified and addressed.2. Code review: Manually review the code to ensure that it is concise, easy to understand, and well-documented. The review process can be automated through linters and code analyzers that flag issues.3. Utilize static code analysis: Utilize static code analysis tools that automatically scan the source code detecting potential errors, bugs and security vulnerabilities. They should provide a list of issues and their location in the source code, along with recommendations for their resolution.4. Conduct dynamic code analysis: In addition to static analysis, dynamic analysis can be conducted to catch bugs and errors that might occur in the runtime. This analysis is done while the software is actually running which allows testers to observe the programs behavior in a real-life scenario and detect any problematic issues.5. Automate the testing process: Test the code vigorously, against a wide range of scenarios to increase the likelihood of bugs being detected before release. Unit tests, regression tests, acceptance tests, and even performance tests can be automated to ensure optimal code quality.6. Act on feedback: Finally, once a faulty code is detected, it is imperative to act on it immediately. Keep track of errors and issues, and address them promptly. . Response in Sesotho: Mona ke moralo oa mokhoa o le mong oa ho lemoha khoutu e fosahetseng: 1. Lekanya boleng ba khoutu : Sebelisa metrics ea boleng ba khoutu ho lekola hore na khoutu e ngotsoe hantle hakae. Maemo a seng makae a tloaelehileng a ho lekanya boleng ba khoutu ke - cyclomatic complexity, duplicate code percentage, coupling between things, cohesion, code coverage le botebo ba lefa. Karolo ea boleng ba khoutu e hlokang tlhokomelo e kholo e tlameha ho tsejoa le ho rarolloa. 2. Tlhahlobo ea Khoutu: Hlahloba khoutu ka bouena ho netefatsa hore e khutsoane, e utloisisoa habonolo, me e ngotsoe hantle. Mokhoa oa ho hlahloba o ka etsoa ka li-linters le li-code analyzers tse hlahisang litaba. 3. Sebelisa static code analysis: Sebelisa lisebelisoa tsa ho hlahloba khoutu tse tsitsitseng tse hlahlobang khoutu ea mohloli ka bo eona ho lemoha liphoso tse ka bang teng, likokoana-hloko le bofokoli ba tšireletso. Ba lokela ho fana ka lethathamo la litaba le sebaka sa bona khoutu ea mohloli, hammoho le likhothaletso bakeng sa tharollo ea bona. 4. Etsa tlhahlobo e matla ea khoutu : Ntle le tlhahlobo e tsitsitseng, tlhahlobo e matla e ka etsoa ho tšoara likokoana-hloko le liphoso tse ka nang tsa etsahala nakong ea tsebetso. Tlhahlobo ena e etsoa ha software e ntse e sebetsa e lumellang bahlahlobi ho bona boitšoaro ba lenaneo maemong a sebele le ho lemoha mathata afe kapa afe. 5. Iketsetse mokhoa oa ho etsa liteko : Lekola khoutu ka matla, khahlano le mefuta e mengata e fapaneng ea maemo ho eketsa monyetla oa hore litšitšili li lemohuoe pele li lokolloa. Liteko tsa yuniti, liteko tsa ho fokotsa maemo, liteko tsa ho amoheloa, esita le liteko tsa tsebetso li ka etsoa ka boiketsetso ho netefatsa boleng bo nepahetseng ba khoutu. 6. Etsa khato ka maikutlo: Qetellong, hang ha khoutu e nang le phoso e fumanoa, ho bohlokoa ho e nka hang-hang. Boloka tlaleho ea liphoso le litaba, me u li rarolle hang-hang. 